2019
Vazquez-Vilar, Gonzalo; i Fàbregas, Albert Guillén; Verdú, Sergio
The Error Probability of Generalized Perfect Codes via the Meta-Converse Artículo de revista
En: IEEE Transactions on Information Theory, vol. 65, no 9, pp. 5705-5717, 2019, ISSN: 0018-9448.
@article{gvazquez-tit19,
title = {The Error Probability of Generalized Perfect Codes via the Meta-Converse},
author = {Gonzalo Vazquez-Vilar and Albert Guill\'{e}n i F\`{a}bregas and Sergio Verd\'{u}},
doi = {10.1109/TIT.2019.2906227},
issn = {0018-9448},
year = {2019},
date = {2019-09-01},
journal = {IEEE Transactions on Information Theory},
volume = {65},
number = {9},
pages = {5705-5717},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Liu, Yanfang; Olmos, Pablo M; Koch, Tobias
A Probabilistic Peeling Decoder to Efficiently Analyze Generalized LDPC Codes Over the BEC Artículo de revista
En: IEEE Transactions on Information Theory, vol. 65, no 8, pp. 4831-4853, 2019, ISSN: 0018-9448.
BibTeX | Etiquetas:
@article{liu-TIT2019a,
title = {A Probabilistic Peeling Decoder to Efficiently Analyze Generalized LDPC Codes Over the BEC},
author = {Yanfang Liu and Pablo M Olmos and Tobias Koch},
issn = {0018-9448},
year = {2019},
date = {2019-08-01},
journal = {IEEE Transactions on Information Theory},
volume = {65},
number = {8},
pages = {4831-4853},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Akyildiz, O. D.; Miguez, Joaquín
Nudging the particle Filter Artículo de revista
En: Statistics and Computing, vol. 30, pp. 305-330, 2019.
Enlaces | BibTeX | Etiquetas: approximation errors, Data assimilation, Model errors, Nudging, Particle filtering, Robust filtering
@article{JMiguez20,
title = {Nudging the particle Filter},
author = {O. D. Akyildiz and Joaqu\'{i}n Miguez},
doi = {https://doi.org/10.1007/s11222-019-09884-y},
year = {2019},
date = {2019-07-13},
journal = {Statistics and Computing},
volume = {30},
pages = {305-330},
keywords = {approximation errors, Data assimilation, Model errors, Nudging, Particle filtering, Robust filtering},
pubstate = {published},
tppubtype = {article}
}
López-Castromán, Jorge; Leiva-Murillo, José M; Cegla-Schvartzman, Fanny; Blasco-Fontecilla, Hilario; García-Nieto, R; Artés-Rodríguez, Antonio; Morant-Ginestar, C; Courtet, Philippe; Blanco, Carlos; Aroca, Fuensanta; Baca-García, Enrique
Onset of schizophrenia diagnoses in a large clinical cohort Artículo de revista
En: Scientific Reports, vol. 9, no 9865, 2019.
Enlaces | BibTeX | Etiquetas: Schizoprenia diagnosis
@article{AArtes19b,
title = {Onset of schizophrenia diagnoses in a large clinical cohort},
author = {Jorge L\'{o}pez-Castrom\'{a}n and Jos\'{e} M Leiva-Murillo and Fanny Cegla-Schvartzman and Hilario Blasco-Fontecilla and R Garc\'{i}a-Nieto and Antonio Art\'{e}s-Rodr\'{i}guez and C Morant-Ginestar and Philippe Courtet and Carlos Blanco and Fuensanta Aroca and Enrique Baca-Garc\'{i}a},
doi = {https://doi.org/10.1038/s41598-019-46109-8},
year = {2019},
date = {2019-07-08},
journal = {Scientific Reports},
volume = {9},
number = {9865},
keywords = {Schizoprenia diagnosis},
pubstate = {published},
tppubtype = {article}
}
Akyildiz, O. D.; Chouzenoux, E.; Elvira, Victor; Miguez, Joaquín
A probabilistic incremental proximal gradient method Artículo de revista
En: IEEE Signal Processing Letters, vol. 26, no 8, pp. 1257-1261, 2019.
Enlaces | BibTeX | Etiquetas: extended Kalman filtering, Probabilistic optimization, proximal algorithms, stochastic gradient
@article{JMiguez19b,
title = {A probabilistic incremental proximal gradient method},
author = {O. D. Akyildiz and E. Chouzenoux and Victor Elvira and Joaqu\'{i}n Miguez},
doi = {10.1109/LSP.2019.2926926},
year = {2019},
date = {2019-07-04},
journal = {IEEE Signal Processing Letters},
volume = {26},
number = {8},
pages = {1257-1261},
keywords = {extended Kalman filtering, Probabilistic optimization, proximal algorithms, stochastic gradient},
pubstate = {published},
tppubtype = {article}
}
Garg, V.; Santamaría, Ignacio; Ramírez, David; Scharf, L L
Subspace averaging and order determination for source enumeration Artículo de revista
En: IEEE Trans. Signal Process., vol. 67, no 11, pp. 3028-3041, 2019, ISSN: 1053-587X.
Enlaces | BibTeX | Etiquetas: Array processing, dimension, Grassmann manifold, order estimation, source enumeration, subspace averaging
@article{Garg2019,
title = {Subspace averaging and order determination for source enumeration},
author = {V. Garg and Ignacio Santamar\'{i}a and David Ram\'{i}rez and L L Scharf},
doi = {10.1109/TSP.2019.2912151},
issn = {1053-587X},
year = {2019},
date = {2019-06-01},
urldate = {2019-06-01},
journal = {IEEE Trans. Signal Process.},
volume = {67},
number = {11},
pages = {3028-3041},
keywords = {Array processing, dimension, Grassmann manifold, order estimation, source enumeration, subspace averaging},
pubstate = {published},
tppubtype = {article}
}
Peis, Ignacio; Olmos, Pablo M; Vera-Varela, Constanza; Barrigón, María Luisa; Courtet, Philippe; Baca-García, Enrique; Artes-Rodríguez, Antonio
Deep Sequential Models for Suicidal Ideation From Multiple Source Data Artículo de revista
En: IEEE Journal of Biomedical and Health Informatics, vol. 23, no 6, pp. 2286 - 2293, 2019.
Enlaces | BibTeX | Etiquetas: attention, Deep learning, EMA, RNN, Suicide
@article{AArtes19,
title = {Deep Sequential Models for Suicidal Ideation From Multiple Source Data},
author = {Ignacio Peis and Pablo M Olmos and Constanza Vera-Varela and Mar\'{i}a Luisa Barrig\'{o}n and Philippe Courtet and Enrique Baca-Garc\'{i}a and Antonio Artes-Rodr\'{i}guez},
doi = {10.1109/JBHI.2019.2919270},
year = {2019},
date = {2019-05-27},
journal = {IEEE Journal of Biomedical and Health Informatics},
volume = {23},
number = {6},
pages = {2286 - 2293},
keywords = {attention, Deep learning, EMA, RNN, Suicide},
pubstate = {published},
tppubtype = {article}
}
Pradier, Melanie F.; Reis, Bernhard; Jukofsky, Lori; Milletti, Francesca; Ohtomo, Toshihiko; Perez-Cruz, Fernando; Puig, Oscar
Case-control Indian buffet process identifies biomarkers of response to Codrituzumab Artículo de revista
En: BMC Cancer, vol. 19, no 278, 2019.
Enlaces | BibTeX | Etiquetas: Codrituzumab, Indian buffet process, Natural killer cells
@article{FPerez18b,
title = {Case-control Indian buffet process identifies biomarkers of response to Codrituzumab},
author = {Melanie F. Pradier and Bernhard Reis and Lori Jukofsky and Francesca Milletti and Toshihiko Ohtomo and Fernando Perez-Cruz and Oscar Puig },
doi = {https://doi.org/10.1186/s12885-019-5472-0},
year = {2019},
date = {2019-03-28},
journal = {BMC Cancer},
volume = {19},
number = {278},
keywords = {Codrituzumab, Indian buffet process, Natural killer cells},
pubstate = {published},
tppubtype = {article}
}
Guarcello, M G; Micela, G; Sciortino, S; López-Santiago, J; Argiroffi, C; Reale, F; Flaccomio, E; Alvarado-Gómez, J D; Antoniou, V; Drake, J J; Pillitteri, I.; Rebull, L; Stauffer, J
Simultaneous Kepler/K2 and XMM-Newton observations of superflares in the Pleiades Artículo de revista
En: Astronomy and Astrophysics, vol. 622, pp. A210, 2019.
Enlaces | BibTeX | Etiquetas: Astrophysics - High Energy Astrophysical Phenomena, Astrophysics - Solar and Stellar Astrophysics, stars: flare, X-rays: stars
@article{2019A\&A...622A.210G,
title = {Simultaneous Kepler/K2 and XMM-Newton observations of superflares in the Pleiades},
author = {M ~G Guarcello and G Micela and S Sciortino and J L\'{o}pez-Santiago and C Argiroffi and F Reale and E Flaccomio and J ~D Alvarado-G\'{o}mez and V Antoniou and J ~J Drake and I. Pillitteri and L Rebull and J Stauffer},
doi = {10.1051/0004-6361/201834370},
year = {2019},
date = {2019-02-01},
urldate = {2019-02-01},
journal = {Astronomy and Astrophysics},
volume = {622},
pages = {A210},
keywords = {Astrophysics - High Energy Astrophysical Phenomena, Astrophysics - Solar and Stellar Astrophysics, stars: flare, X-rays: stars},
pubstate = {published},
tppubtype = {article}
}
Koblents, Eugenia; Mariño, Inés P.; Míguez, Joaquín
Bayesian computation methods for inference in stochastic kinetic models Artículo de revista
En: Complexity, vol. 2019, no ID 7160934, pp. 15, 2019.
Enlaces | BibTeX | Etiquetas: Monte Carlo (MC) methods, Stochastic kinetic models
@article{JMiguez19,
title = {Bayesian computation methods for inference in stochastic kinetic models},
author = {Eugenia Koblents and In\'{e}s P. Mari\~{n}o and Joaqu\'{i}n M\'{i}guez},
doi = {https://doi.org/10.1155/2019/7160934},
year = {2019},
date = {2019-01-20},
journal = {Complexity},
volume = {2019},
number = {ID 7160934},
pages = {15},
keywords = {Monte Carlo (MC) methods, Stochastic kinetic models},
pubstate = {published},
tppubtype = {article}
}
and, JC Morales
A giant exoplanet orbiting a very-low-mass star challenges planet formation models Artículo de revista
En: Science, vol. 365, no 6460, pp. 1441-1445, 2019.
Enlaces | BibTeX | Etiquetas: Astrophysics - Earth and Planetary Astrophysics, Astrophysics - Solar and Stellar Astrophysics, PLANET SCI; ASTRONOMY
@article{2019Sci...365.1441M,
title = {A giant exoplanet orbiting a very-low-mass star challenges planet formation models},
author = {JC Morales and et al.},
doi = {10.1126/science.aax3198},
year = {2019},
date = {2019-01-01},
journal = {Science},
volume = {365},
number = {6460},
pages = {1441-1445},
keywords = {Astrophysics - Earth and Planetary Astrophysics, Astrophysics - Solar and Stellar Astrophysics, PLANET SCI; ASTRONOMY},
pubstate = {published},
tppubtype = {article}
}
Martínez-Olmos, Antonio; Olmos, Pablo M; Erenas, Miguel M; Escobedo, Pablo
Portable Multispectral System Based on Color Detector for the Analysis of Homogeneous Surfaces Artículo de revista
En: Journal of Sensors, vol. 2019, 2019.
BibTeX | Etiquetas:
@article{martinez2019portable,
title = {Portable Multispectral System Based on Color Detector for the Analysis of Homogeneous Surfaces},
author = {Antonio Mart\'{i}nez-Olmos and Pablo M Olmos and Miguel M Erenas and Pablo Escobedo},
year = {2019},
date = {2019-01-01},
journal = {Journal of Sensors},
volume = {2019},
publisher = {Hindawi},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Akyildiz, O. D.; Míguez, Joaquín
Dictionary filtering: a probabilistic approach to online matrix factorisation Artículo de revista
En: SIGNAL IMAGE AND VIDEO PROCESSING, vol. 13, no 4, pp. 737–744, 2019.
@article{deniz2019dictionary,
title = {Dictionary filtering: a probabilistic approach to online matrix factorisation},
author = {O. D. Akyildiz and Joaqu\'{i}n M\'{i}guez},
doi = {10.1007/s11760-018-1403-9},
year = {2019},
date = {2019-01-01},
urldate = {2019-01-01},
journal = {SIGNAL IMAGE AND VIDEO PROCESSING},
volume = {13},
number = {4},
pages = {737--744},
publisher = {SPRINGER LONDON LTD 236 GRAYS INN RD, 6TH FLOOR, LONDON WC1X 8HL, ENGLAND},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Eguizabal, Alma; Lameiro, C; Ramirez, David; Schreier, Peter J
Source enumeration in the presence of colored noise Artículo de revista
En: IEEE Signal Process. Lett., vol. 26, no 3, pp. 475–479, 2019, ISSN: 1070-9908.
Resumen | Enlaces | BibTeX | Etiquetas:
@article{b_109,
title = {Source enumeration in the presence of colored noise},
author = {Alma Eguizabal and C Lameiro and David Ramirez and Peter J Schreier},
doi = {10.1109/LSP.2019.2895548},
issn = {1070-9908},
year = {2019},
date = {2019-00-01},
journal = {IEEE Signal Process. Lett.},
volume = {26},
number = {3},
pages = {475--479},
abstract = {In array signal processing the detection of the number of sources is an important step. Most approaches assume the signals to be embedded in white noise. However, this assumption is unrealistic in many scenarios. In this paper, we propose a strategy that can handle colored noise. We model the source detection as a regression problem and apply information-theoretic criteria to determine the model order of the regression. We show simulations of different scenarios, where our approach outperforms traditional techniques.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
2018
Pérez-Vieites, Sara; Mariño, Inés P.; Míguez, Joaquín
Probabilistic scheme for joint parameter estimation and state prediction in complex dynamical systems Artículo de revista
En: Physical Review E, vol. 98, no 063305, pp. 1-19, 2018.
Enlaces | BibTeX | Etiquetas: Dynamical models
@article{JMiguez18b,
title = {Probabilistic scheme for joint parameter estimation and state prediction in complex dynamical systems},
author = {Sara P\'{e}rez-Vieites and In\'{e}s P. Mari\~{n}o and Joaqu\'{i}n M\'{i}guez},
doi = {10.1103/PhysRevE.98.063305},
year = {2018},
date = {2018-12-05},
journal = {Physical Review E},
volume = {98},
number = {063305},
pages = {1-19},
keywords = {Dynamical models},
pubstate = {published},
tppubtype = {article}
}
Lacasa, Lucas; Mariño, Inés P.; Miguez, Joaquin; Nicosia, Vincenzo; Roldán, Édgar; Lisica, Ana; Grill, Stephan W.; Gómez-Gardeñes, Jesús
Multiplex Decomposition of Non-Markovian Dynamics and the Hidden Layer Reconstruction Problem Artículo de revista
En: Physical Review X, vol. 8, no 031038, pp. 1-36, 2018.
Enlaces | BibTeX | Etiquetas: Biological Physics, Complex Systems, Interdisciplinary Physics
@article{JMiguez18c,
title = {Multiplex Decomposition of Non-Markovian Dynamics and the Hidden Layer Reconstruction Problem},
author = {Lucas Lacasa and In\'{e}s P. Mari\~{n}o and Joaquin Miguez and Vincenzo Nicosia and \'{E}dgar Rold\'{a}n and Ana Lisica and Stephan W. Grill and Jes\'{u}s G\'{o}mez-Garde\~{n}es},
doi = {10.1103/PhysRevX.8.031038},
year = {2018},
date = {2018-08-07},
journal = {Physical Review X},
volume = {8},
number = {031038},
pages = {1-36},
keywords = {Biological Physics, Complex Systems, Interdisciplinary Physics},
pubstate = {published},
tppubtype = {article}
}
Utkovski, Zoran; Pradier, Melanie F.; Stojkoski, Viktor; Perez-Cruz, Fernando; Kocarev, Ljupco
Economic complexity unfolded: Interpretable model for the productive structure of economies Artículo de revista
En: PLoS ONE, vol. 13(8), no e0200822, 2018.
Enlaces | BibTeX | Etiquetas: Indian buffet process
@article{FPerez18d,
title = {Economic complexity unfolded: Interpretable model for the productive structure of economies},
author = {Zoran Utkovski and Melanie F. Pradier and Viktor Stojkoski and Fernando Perez-Cruz and Ljupco Kocarev},
doi = {https://doi.org/10.1371/journal.pone.0200822},
year = {2018},
date = {2018-08-07},
journal = {PLoS ONE},
volume = {13(8)},
number = {e0200822},
keywords = {Indian buffet process},
pubstate = {published},
tppubtype = {article}
}
Crisan, Dan; Míguez, Joaquín; Ríos-Muñoz, Gonzalo
On the performance of parallelisation schemes for particle filtering Artículo de revista
En: EURASIP Journal on Advances in Signal Processing, vol. 2018, no 1, pp. 31, 2018, ISSN: 1687-6180.
Resumen | Enlaces | BibTeX | Etiquetas:
@article{Crisan2018,
title = {On the performance of parallelisation schemes for particle filtering},
author = {Dan Crisan and Joaqu\'{i}n M\'{i}guez and Gonzalo R\'{i}os-Mu\~{n}oz},
url = {https://doi.org/10.1186/s13634-018-0552-x},
doi = {10.1186/s13634-018-0552-x},
issn = {1687-6180},
year = {2018},
date = {2018-05-25},
journal = {EURASIP Journal on Advances in Signal Processing},
volume = {2018},
number = {1},
pages = {31},
abstract = {Considerable effort has been recently devoted to the design of schemes for the parallel implementation of sequential Monte Carlo (SMC) methods for dynamical systems, also widely known as particle filters (PFs). In this paper, we present a brief survey of recent techniques, with an emphasis on the availability of analytical results regarding their performance. Most parallelisation methods can be interpreted as running an ensemble of lower-cost PFs, and the differences between schemes depend on the degree of interaction among the members of the ensemble. We also provide some insights on the use of the simplest scheme for the parallelisation of SMC methods, which consists in splitting the computational budget into M non-interacting PFs with N particles each and then obtaining the desired estimators by averaging over the M independent outcomes of the filters. This approach minimises the parallelisation overhead yet still displays desirable theoretical properties. We analyse the mean square error (MSE) of estimators of moments of the optimal filtering distribution and show the effect of the parallelisation scheme on the approximation error rates. Following these results, we propose a time--error index to compare schemes with different degrees of parallelisation. Finally, we provide two numerical examples involving stochastic versions of the Lorenz 63 and Lorenz 96 systems. In both cases, we show that the ensemble of non-interacting PFs can attain the approximation accuracy of a centralised PF (with the same total number of particles) in just a fraction of its running time using a standard multicore computer.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Koch, Tobias; Vazquez-Vilar, Gonzalo
A Rigorous Approach to High-Resolution Entropy-Constrained Vector Quantization Artículo de revista
En: IEEE Transactions on Information Theory, vol. 64, no 4, pp. 2609-2625, 2018, ISSN: 0018-9448.
Enlaces | BibTeX | Etiquetas: Distortion, Distortion measurement, Entropy, Entropy constrained, high resolution, Probability density function, quantization, Rate-distortion, Rate-distortion theory, Vector quantization
@article{koch-TIT2018a,
title = {A Rigorous Approach to High-Resolution Entropy-Constrained Vector Quantization},
author = {Tobias Koch and Gonzalo Vazquez-Vilar},
doi = {10.1109/TIT.2018.2803064},
issn = {0018-9448},
year = {2018},
date = {2018-04-01},
journal = {IEEE Transactions on Information Theory},
volume = {64},
number = {4},
pages = {2609-2625},
keywords = {Distortion, Distortion measurement, Entropy, Entropy constrained, high resolution, Probability density function, quantization, Rate-distortion, Rate-distortion theory, Vector quantization},
pubstate = {published},
tppubtype = {article}
}
Boloix-Tortosa, Rafael; Murillo-Fuentes, Juan José; Payán-Somet, Francisco Javier; Pérez-Cruz, Fernando
Complex Gaussian Processes for Regression Artículo de revista
En: IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no 11, pp. 5499-5511, 2018.
Enlaces | BibTeX | Etiquetas: Complex-valued processes, Gaussian processes (GPs), kernel methods, regression
@article{FPerez18,
title = {Complex Gaussian Processes for Regression},
author = {Rafael Boloix-Tortosa and Juan Jos\'{e} Murillo-Fuentes and Francisco Javier Pay\'{a}n-Somet and Fernando P\'{e}rez-Cruz},
doi = {10.1109/TNNLS.2018.2805019},
year = {2018},
date = {2018-03-06},
journal = {IEEE Transactions on Neural Networks and Learning Systems},
volume = {29},
number = {11},
pages = {5499-5511},
keywords = {Complex-valued processes, Gaussian processes (GPs), kernel methods, regression},
pubstate = {published},
tppubtype = {article}
}
Ruiz, Francisco J R; Valera, Isabel; Svensson, Lennart; Perez-Cruz, Fernando
Infinite Factorial Finite State Machine for Blind Multiuser Channel Estimation Artículo de revista
En: IEEE Transactions on Cognitive Communications and Networking, vol. 4, no 2, pp. 177-191, 2018.
Enlaces | BibTeX | Etiquetas: Bayesian nonparametrics, machine-to-machine, multiuser communications, stochastic finite state machine
@article{FPerez18,
title = {Infinite Factorial Finite State Machine for Blind Multiuser Channel Estimation},
author = {Francisco J R Ruiz and Isabel Valera and Lennart Svensson and Fernando Perez-Cruz},
doi = {10.1109/TCCN.2018.2790976},
year = {2018},
date = {2018-01-08},
journal = {IEEE Transactions on Cognitive Communications and Networking},
volume = {4},
number = {2},
pages = {177-191},
keywords = {Bayesian nonparametrics, machine-to-machine, multiuser communications, stochastic finite state machine},
pubstate = {published},
tppubtype = {article}
}
Luengo, David; Ríos-Muñoz, Gonzalo; Elvira, Victor; Sánchez, Carlos; Artés-Rodríguez, Antonio
Hierarchical Algorithms for Causality Retrieval in Atrial Fibrillation Intracavitary Electrograms Artículo de revista
En: IEEE Journal of Biomedical and Health Informatics, vol. PP, 2018.
Resumen | Enlaces | BibTeX | Etiquetas:
@article{Luengo2018,
title = {Hierarchical Algorithms for Causality Retrieval in Atrial Fibrillation Intracavitary Electrograms},
author = {David Luengo and Gonzalo R\'{i}os-Mu\~{n}oz and Victor Elvira and Carlos S\'{a}nchez and Antonio Art\'{e}s-Rodr\'{i}guez},
doi = {10.1109/JBHI.2018.2805773},
year = {2018},
date = {2018-01-01},
journal = {IEEE Journal of Biomedical and Health Informatics},
volume = {PP},
abstract = {Multi-channel intracavitary electrograms (EGMs) are acquired at the electrophysiology laboratory to guide radio frequency catheter ablation of patients suffering from atrial fibrillation (AF). These EGMs are used by cardiologists to determine candidate areas for ablation (e.g., areas corresponding to high dominant frequencies or complex fractionated electrograms). In this paper, we introduce two hierarchical algorithms to retrieve the causal interactions among these multiple EGMs. Both algorithms are based on Granger causality, but other causality measures can be easily incorporated. In both cases, they start by selecting a root node, but they differ on the way in which they explore the set of signals to determine their causeeffect relationships: either testing the full set of unexplored signals (GS-CaRe) or performing a local search only among the set of neighbor EGMs (LS-CaRe). The ensuing causal model provides important information about the propagation of the electrical signals inside the atria, uncovering wavefronts and activation patterns that can guide cardiologists towards candidate areas for catheter ablation. Numerical experiments, on both synthetic signals and annotated real-world signals, show the good performance of the two proposed approaches},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Martino, Luca
A review of multiple try MCMC algorithms for signal processing Artículo de revista
En: Digital Signal Processing, vol. 75, pp. 134 - 152, 2018.
BibTeX | Etiquetas:
@article{MARTINO_MT_MCMC,
title = {A review of multiple try MCMC algorithms for signal processing},
author = {Luca Martino},
year = {2018},
date = {2018-01-01},
journal = {Digital Signal Processing},
volume = {75},
pages = {134 - 152},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Martino, Luca; Luengo, David
Extremely efficient acceptance-rejection method for simulating uncorrelated Nakagami fading channels Artículo de revista
En: Communications in Statistics - Simulation and Computation, vol. 0, no 0, pp. 1-17, 2018.
BibTeX | Etiquetas:
@article{Martino_Nak18,
title = {Extremely efficient acceptance-rejection method for simulating uncorrelated Nakagami fading channels},
author = {Luca Martino and David Luengo},
year = {2018},
date = {2018-01-01},
journal = {Communications in Statistics - Simulation and Computation},
volume = {0},
number = {0},
pages = {1-17},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Villacrés, Grace; Koch, Tobias; Sezgin, Aydin; Vazquez-Vilar, Gonzalo
Robust Signaling for Bursty Interference Artículo de revista
En: Entropy, vol. 20, no 11, 2018, ISSN: 1099-4300.
Resumen | Enlaces | BibTeX | Etiquetas:
@article{e20110870,
title = {Robust Signaling for Bursty Interference},
author = {Grace Villacr\'{e}s and Tobias Koch and Aydin Sezgin and Gonzalo Vazquez-Vilar},
url = {http://www.mdpi.com/1099-4300/20/11/870},
doi = {10.3390/e20110870},
issn = {1099-4300},
year = {2018},
date = {2018-01-01},
journal = {Entropy},
volume = {20},
number = {11},
abstract = {This paper studies a bursty interference channel, where the presence/absence of interference is modeled by a block-i.i.d. Bernoulli process that stays constant for a duration of T symbols (referred to as coherence block) and then changes independently to a new state. We consider both a quasi-static setup, where the interference state remains constant during the whole transmission of the codeword, and an ergodic setup, where a codeword spans several coherence blocks. For the quasi-static setup, we study the largest rate of a coding strategy that provides reliable communication at a basic rate and allows an increased (opportunistic) rate when there is no interference. For the ergodic setup, we study the largest achievable rate. We study how non-causal knowledge of the interference state, referred to as channel-state information (CSI), affects the achievable rates. We derive converse and achievability bounds for (i) local CSI at the receiver side only; (ii) local CSI at the transmitter and receiver side; and (iii) global CSI at all nodes. Our bounds allow us to identify when interference burstiness is beneficial and in which scenarios global CSI outperforms local CSI. The joint treatment of the quasi-static and ergodic setup further allows for a thorough comparison of these two setups.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Trifonov, T; Kürster, M; Zechmeister, M; Tal-Or, L; Caballero, J A; Quirrenbach, A; Amado, P J; Ribas, I; Reiners, A; Reffert, S
The CARMENES search for exoplanets around M dwarfs-First visual-channel radial-velocity measurements and orbital parameter updates of seven M-dwarf planetary systems Artículo de revista
En: Astronomy & Astrophysics, vol. 609, pp. A117, 2018.
BibTeX | Etiquetas:
@article{trifonov2018carmenes,
title = {The CARMENES search for exoplanets around M dwarfs-First visual-channel radial-velocity measurements and orbital parameter updates of seven M-dwarf planetary systems},
author = {T Trifonov and M K\"{u}rster and M Zechmeister and L Tal-Or and J A Caballero and A Quirrenbach and P J Amado and I Ribas and A Reiners and S Reffert},
year = {2018},
date = {2018-01-01},
journal = {Astronomy \& Astrophysics},
volume = {609},
pages = {A117},
publisher = {EDP Sciences},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Reiners, A; Ribas, I; Zechmeister, M; Caballero, J A; Trifonov, T; Dreizler, S; Morales, JC; Tal-Or, L; Lafarga, M; Quirrenbach, A
The CARMENES search for exoplanets around M dwarfs-High-resolution optical and near-infrared spectroscopy of 324 survey stars Artículo de revista
En: Astronomy & Astrophysics, vol. 612, pp. A49, 2018.
BibTeX | Etiquetas:
@article{reiners2018carmenes,
title = {The CARMENES search for exoplanets around M dwarfs-High-resolution optical and near-infrared spectroscopy of 324 survey stars},
author = {A Reiners and I Ribas and M Zechmeister and J A Caballero and T Trifonov and S Dreizler and JC Morales and L Tal-Or and M Lafarga and A Quirrenbach},
year = {2018},
date = {2018-01-01},
journal = {Astronomy \& Astrophysics},
volume = {612},
pages = {A49},
publisher = {EDP Sciences},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Reale, F; López-Santiago, J; Flaccomio, E; Petralia, Antonino; Sciortino, S
X-Ray Flare Oscillations Track Plasma Sloshing along Star-disk Magnetic Tubes in the Orion Star-forming Region Artículo de revista
En: The Astrophysical Journal, vol. 856, no 1, pp. 51, 2018.
BibTeX | Etiquetas:
@article{reale2018x,
title = {X-Ray Flare Oscillations Track Plasma Sloshing along Star-disk Magnetic Tubes in the Orion Star-forming Region},
author = {F Reale and J L\'{o}pez-Santiago and E Flaccomio and Antonino Petralia and S Sciortino},
year = {2018},
date = {2018-01-01},
journal = {The Astrophysical Journal},
volume = {856},
number = {1},
pages = {51},
publisher = {IOP Publishing},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Reiners, A; Ribas, I; Zechmeister, M; Caballero, J A; Trifonov, T; Dreizler, S; Morales, JC; Tal-Or, L; Lafarga, M; Quirrenbach, A
The CARMENES search for exoplanets around M dwarfs-HD147379 b: A nearby Neptune in the temperate zone of an early-M dwarf Artículo de revista
En: Astronomy & Astrophysics, vol. 609, pp. L5, 2018.
BibTeX | Etiquetas:
@article{reiners2018carmenesb,
title = {The CARMENES search for exoplanets around M dwarfs-HD147379 b: A nearby Neptune in the temperate zone of an early-M dwarf},
author = {A Reiners and I Ribas and M Zechmeister and J A Caballero and T Trifonov and S Dreizler and JC Morales and L Tal-Or and M Lafarga and A Quirrenbach},
year = {2018},
date = {2018-01-01},
journal = {Astronomy \& Astrophysics},
volume = {609},
pages = {L5},
publisher = {EDP Sciences},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
López-Santiago, J
On the use of wavelets to reveal oscillatory patterns in stellar flare emission Artículo de revista
En: Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol. 376, no 2126, pp. 20170253, 2018.
BibTeX | Etiquetas:
@article{lopez2018use,
title = {On the use of wavelets to reveal oscillatory patterns in stellar flare emission},
author = {J L\'{o}pez-Santiago},
year = {2018},
date = {2018-01-01},
journal = {Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences},
volume = {376},
number = {2126},
pages = {20170253},
publisher = {The Royal Society Publishing},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Reiners, A; Zechmeister, M; Caballero, J A; Ribas, I; Morales, JC; Jeffers, S V; Kaminski, A
VizieR Online Data Catalog: 324 CARMENES M dwarfs velocities (Reiners+, 2018) Artículo de revista
En: VizieR Online Data Catalog, vol. 361, 2018.
BibTeX | Etiquetas:
@article{reiners2018vizier,
title = {VizieR Online Data Catalog: 324 CARMENES M dwarfs velocities (Reiners+, 2018)},
author = {A Reiners and M Zechmeister and J A Caballero and I Ribas and JC Morales and S V Jeffers and A Kaminski},
year = {2018},
date = {2018-01-01},
journal = {VizieR Online Data Catalog},
volume = {361},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Bravi, L; Zari, E; Sacco, GG; Randich, S; Jeffries, RD; Jackson, RJ; Franciosini, E; Moraux, E; López-Santiago, J; Pancino, E
The Gaia-ESO Survey: a kinematical and dynamical study of four young open clusters Artículo de revista
En: Astronomy & Astrophysics, vol. 615, pp. A37, 2018.
BibTeX | Etiquetas:
@article{bravi2018gaia,
title = {The Gaia-ESO Survey: a kinematical and dynamical study of four young open clusters},
author = {L Bravi and E Zari and GG Sacco and S Randich and RD Jeffries and RJ Jackson and E Franciosini and E Moraux and J L\'{o}pez-Santiago and E Pancino},
year = {2018},
date = {2018-01-01},
journal = {Astronomy \& Astrophysics},
volume = {615},
pages = {A37},
publisher = {EDP Sciences},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Santos, Irene; Murillo-Fuentes, Juan José; Arias-de-Reyna, Eva; Olmos, Pablo M
Turbo EP-based Equalization: a Filter-Type Implementation Artículo de revista
En: IEEE Transactions on Communications, 66 (9), 4259-4270., 2018.
BibTeX | Etiquetas:
@article{santos2018turbo,
title = {Turbo EP-based Equalization: a Filter-Type Implementation},
author = {Irene Santos and Juan Jos\'{e} Murillo-Fuentes and Eva Arias-de-Reyna and Pablo M Olmos},
year = {2018},
date = {2018-01-01},
journal = {IEEE Transactions on Communications, 66 (9), 4259-4270.},
publisher = {IEEE Communications Society},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Liu, Yanfang; Olmos, Pablo M; Mitchell, David G M
Generalized LDPC codes for ultra reliable low latency communication in 5G and beyond Artículo de revista
En: IEEE Access, vol. 6, pp. 72002–72014, 2018.
BibTeX | Etiquetas:
@article{liu2018generalized,
title = {Generalized LDPC codes for ultra reliable low latency communication in 5G and beyond},
author = {Yanfang Liu and Pablo M Olmos and David G M Mitchell},
year = {2018},
date = {2018-01-01},
journal = {IEEE Access},
volume = {6},
pages = {72002--72014},
publisher = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Míguez, Joaquín; Mariño, Inés P.; Vázquez, Manuel A
Analysis of a nonlinear importance sampling scheme for Bayesian parameter estimation in state-space models Artículo de revista
En: Signal Processing, vol. 142, pp. 281-291, 2018, ISSN: 0165-1684.
Resumen | Enlaces | BibTeX | Etiquetas: Adaptive importance sampling, Bayesian inference, Importance sampling, Parameter estimation, population Monte Carlo, State space models
@article{MIGUEZ2018281b,
title = {Analysis of a nonlinear importance sampling scheme for Bayesian parameter estimation in state-space models},
author = {Joaqu\'{i}n M\'{i}guez and In\'{e}s P. Mari\~{n}o and Manuel A V\'{a}zquez},
url = {https://www.sciencedirect.com/science/article/pii/S0165168417302761},
doi = {https://doi.org/10.1016/j.sigpro.2017.07.030},
issn = {0165-1684},
year = {2018},
date = {2018-01-01},
urldate = {2018-01-01},
journal = {Signal Processing},
volume = {142},
pages = {281-291},
abstract = {The Bayesian estimation of the unknown parameters of state-space (dynamical) systems has received considerable attention over the past decade, with a handful of powerful algorithms being introduced. In this paper we tackle the theoretical analysis of the recently proposed nonlinear population Monte Carlo (NPMC). This is an iterative importance sampling scheme whose key features, compared to conventional importance samplers, are (i) the approximate computation of the importance weights (IWs) assigned to the Monte Carlo samples and (ii) the nonlinear transformation of these IWs in order to prevent the degeneracy problem that flaws the performance of conventional importance samplers. The contribution of the present paper is a rigorous proof of convergence of the nonlinear IS (NIS) scheme as the number of Monte Carlo samples, M, increases. Our analysis reveals that the NIS approximation errors converge to 0 almost surely and with the optimal Monte Carlo rate of M−12. Moreover, we prove that this is achieved even when the mean estimation error of the IWs remains constant, a property that has been termed exact approximation in the Markov chain Monte Carlo literature. We illustrate these theoretical results by means of a computer simulation example involving the estimation of the parameters of a state-space model typically used for target tracking.},
keywords = {Adaptive importance sampling, Bayesian inference, Importance sampling, Parameter estimation, population Monte Carlo, State space models},
pubstate = {published},
tppubtype = {article}
}
Vázquez, Manuel A; no, Inés P Mari; Blyuss, Oleg; Ryan, Andy; Gentry-Maharaj, Aleksandra; Kalsi, Jatinderpal; Manchanda, Ranjit; Jacobs, Ian; Menon, Usha; Zaikin, Alexey
A quantitative performance study of two automatic methods for the diagnosis of ovarian cancer Artículo de revista
En: Biomedical signal processing and control, vol. 46, pp. 86–93, 2018.
@article{vazquez2018quantitative,
title = {A quantitative performance study of two automatic methods for the diagnosis of ovarian cancer},
author = {Manuel A V\'{a}zquez and In\'{e}s P Mari no and Oleg Blyuss and Andy Ryan and Aleksandra Gentry-Maharaj and Jatinderpal Kalsi and Ranjit Manchanda and Ian Jacobs and Usha Menon and Alexey Zaikin},
year = {2018},
date = {2018-01-01},
urldate = {2018-01-01},
journal = {Biomedical signal processing and control},
volume = {46},
pages = {86--93},
publisher = {Elsevier},
keywords = {yo},
pubstate = {published},
tppubtype = {article}
}
Crisan, Dan; Míguez, Joaquín
Nested particle filters for online parameter estimation in discrete-time state-space Markov models Artículo de revista
En: Bernoulli, vol. 24, no 4A, pp. 3039 – 3086, 2018.
Enlaces | BibTeX | Etiquetas: error bounds, model inference, Monte Carlo, Parameter estimation, Particle filtering, recursive algorithms, State space models
@article{10.3150/17-BEJ954,
title = {Nested particle filters for online parameter estimation in discrete-time state-space Markov models},
author = {Dan Crisan and Joaqu\'{i}n M\'{i}guez},
url = {https://doi.org/10.3150/17-BEJ954},
doi = {10.3150/17-BEJ954},
year = {2018},
date = {2018-01-01},
urldate = {2018-01-01},
journal = {Bernoulli},
volume = {24},
number = {4A},
pages = {3039 -- 3086},
publisher = {Bernoulli Society for Mathematical Statistics and Probability},
keywords = {error bounds, model inference, Monte Carlo, Parameter estimation, Particle filtering, recursive algorithms, State space models},
pubstate = {published},
tppubtype = {article}
}
Míguez, Joaquín; Mariño, Inés P.; Vázquez, Manuel A
Analysis of a nonlinear importance sampling scheme for Bayesian parameter estimation in state-space models Artículo de revista
En: Signal Processing, vol. 142, pp. 281-291, 2018, ISSN: 0165-1684.
Resumen | Enlaces | BibTeX | Etiquetas: Adaptive importance sampling, Bayesian inference, Importance sampling, Parameter estimation, population Monte Carlo, State space models
@article{MIGUEZ2018281,
title = {Analysis of a nonlinear importance sampling scheme for Bayesian parameter estimation in state-space models},
author = {Joaqu\'{i}n M\'{i}guez and In\'{e}s P. Mari\~{n}o and Manuel A V\'{a}zquez},
url = {https://www.sciencedirect.com/science/article/pii/S0165168417302761},
doi = {https://doi.org/10.1016/j.sigpro.2017.07.030},
issn = {0165-1684},
year = {2018},
date = {2018-01-01},
urldate = {2018-01-01},
journal = {Signal Processing},
volume = {142},
pages = {281-291},
abstract = {The Bayesian estimation of the unknown parameters of state-space (dynamical) systems has received considerable attention over the past decade, with a handful of powerful algorithms being introduced. In this paper we tackle the theoretical analysis of the recently proposed nonlinear population Monte Carlo (NPMC). This is an iterative importance sampling scheme whose key features, compared to conventional importance samplers, are (i) the approximate computation of the importance weights (IWs) assigned to the Monte Carlo samples and (ii) the nonlinear transformation of these IWs in order to prevent the degeneracy problem that flaws the performance of conventional importance samplers. The contribution of the present paper is a rigorous proof of convergence of the nonlinear IS (NIS) scheme as the number of Monte Carlo samples, M, increases. Our analysis reveals that the NIS approximation errors converge to 0 almost surely and with the optimal Monte Carlo rate of M−12. Moreover, we prove that this is achieved even when the mean estimation error of the IWs remains constant, a property that has been termed exact approximation in the Markov chain Monte Carlo literature. We illustrate these theoretical results by means of a computer simulation example involving the estimation of the parameters of a state-space model typically used for target tracking.},
keywords = {Adaptive importance sampling, Bayesian inference, Importance sampling, Parameter estimation, population Monte Carlo, State space models},
pubstate = {published},
tppubtype = {article}
}
Pries, Aaron; Ramírez, David; Schreier, Peter J
LMPIT-inspired tests for detecting a cyclostationary signal in noise with spatio-temporal structure Artículo de revista
En: IEEE Ŧrans. Wireless Comm., vol. 17, no 9, pp. 6321–6334, 2018, ISSN: 1536-1276.
Resumen | Enlaces | BibTeX | Etiquetas:
@article{,
title = {LMPIT-inspired tests for detecting a cyclostationary signal in noise with spatio-temporal structure},
author = {Aaron Pries and David Ram\'{i}rez and Peter J Schreier},
doi = {10.1109/TWC.2018.2859314},
issn = {1536-1276},
year = {2018},
date = {2018-00-01},
journal = {IEEE {T}rans. Wireless Comm.},
volume = {17},
number = {9},
pages = {6321--6334},
abstract = {In spectrum sensing for cognitive radio, the presence of a primary user can be detected by making use of the cyclostationarity property of digital communication signals. For the general scenario of a cyclostationary signal in temporally colored and spatially correlated noise, it has previously been shown that an asymptotic generalized likelihood ratio test (GLRT) and locally most powerful invariant test (LMPIT) exist. In this paper, we derive detectors for the presence of a cyclostationary signal in various scenarios with structured noise. In particular, we consider noise that is temporally white and/or spatially uncorrelated. Detectors that make use of this additional information about the noise process have enhanced performance. We have previously derived GLRTs for these specific scenarios; here, we examine the existence of LMPITs. We show that these exist only for detecting the presence of a cyclostationary signal in spatially uncorrelated noise. For white noise, an LMPIT does not exist. Instead, we propose tests that approximate the LMPIT, and they are shown to perform well in simulations. Finally, if the noise structure is not known in advance, we also present hypothesis tests using our framework.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Berrouiguet, Sofian; Ramírez, David; Barrigón, María Luisa; Moreno-Muñoz, P; Carmona, R.; Baca-García, Enrique; Artés-Rodríguez, Antonio
En: JMIR mHealth and uHealth (Special issue on Computing and Mental Ħealth), vol. 6, no 12, pp. e197, 2018.
Resumen | Enlaces | BibTeX | Etiquetas:
@article{bi,
title = {Combining continuous smartphone native sensors data capture and unsupervised data mining techniques for behavioral changes detection: The feasibility study of the Evidence Based Behavior (eB2) platform},
author = {Sofian Berrouiguet and David Ram\'{i}rez and Mar\'{i}a Luisa Barrig\'{o}n and P Moreno-Mu\~{n}oz and R. Carmona and Enrique Baca-Garc\'{i}a and Antonio Art\'{e}s-Rodr\'{i}guez},
doi = {10.2196/mhealth.9472},
year = {2018},
date = {2018-00-01},
journal = {JMIR mHealth and uHealth (Special issue on Computing and Mental {H}ealth)},
volume = {6},
number = {12},
pages = {e197},
abstract = {Background: The emergence of smartphones, wearable sensor technologies, and smart homes allows the non-intrusive collection of activity data. Thus, health-related events such as Activities of Daily Living (ADLs, e.g., mobility patterns, feeding, sleeping, ...) can be captured without the patient’s active participation. We designed a system able to detect changes in the mobility patterns based on the smartphone’s native sensors and advanced machine learning and signal processing techniques. Objective: The principal objective of this work was to assess the feasibility of detecting mobility patterns changes in a sample of outpatients suffering from depression using the smartphone’s sensors. The proposed method processed the data acquired by the smartphone using an unsupervised detection technique. Method: Thirty-eight outpatients from the Hospital Fundaci\'{o}n Jim\'{e}nez D\'{i}az Psychiatry Department (Madrid, Spain) participated in the study. The eB2 app was downloaded by patients on the day of recruitment and configured with the assistance of the physician. The app captured the following data: inertial sensors, physical activity, phone calls and message logs, app usage, nearby Bluetooth and Wi-Fi connections, and location. We applied a change-point detection technique to location data on a sample of 9 outpatients recruited between April 6th, 2017 and December 14th, 2017. The change-point detection was based only on location information, but the eB2 platform allowed for an easy integration of additional data. The app remained running in the background on the patient’s smartphone during the study participation. Results: The principal outcome measure was the identification of mobility pattern changes based on an unsupervised detection technique applied to the smartphone’s native sensors data. Results from five patients’ records are presented as a case series . The eB2 system detected specific mobility pattern changes according to the patient’s activity, which may be used as indicators of behavioral and clinical state changes. Discussion: The proposed technique was able to automatically detect changes in the mobility patterns of the outpatients that took part in this study. Assuming these mobility pattern changes correlated with behavioral changes, we have developed a technique that may identify possible relapses or clinical changes. Nevertheless, it is important to point out that the detected changes are not always related to relapses and that some clinical changes cannot be detected by the proposed method.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Ramirez, David; Romero, D; Via, Javier; López-Valcarce, Roberto; Santamaria, Ignacio
Testing equality of multiple power spectral density matrices Artículo de revista
En: IEEE Ŧrans. Signal Process., vol. 66, no 23, pp. 6268–6280, 2018, ISSN: 1053-587X.
Resumen | Enlaces | BibTeX | Etiquetas:
@article{b_109b,
title = {Testing equality of multiple power spectral density matrices},
author = {David Ramirez and D Romero and Javier Via and Roberto L\'{o}pez-Valcarce and Ignacio Santamaria},
doi = {10.1109/TSP.2018.2875884},
issn = {1053-587X},
year = {2018},
date = {2018-00-01},
journal = {IEEE {T}rans. Signal Process.},
volume = {66},
number = {23},
pages = {6268--6280},
abstract = {This paper studies the existence of optimal invariant detectors for determining whether P multivariate processes have the same power spectral density. This problem finds application in multiple fields, including physical layer security and cognitive radio. For Gaussian observations, we prove that the optimal invariant detector, i.e., the uniformly most powerful invariant test, does not exist. Additionally, we consider the challenging case of close hypotheses, where we study the existence of the locally most powerful invariant test (LMPIT). The LMPIT is obtained in the closed form only for univariate signals. In the multivariate case, it is shown that the LMPIT does not exist. However, the corresponding proof naturally suggests an LMPIT-inspired detector that outperforms previously proposed detectors.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Horstmann, S; Ramírez, David; Schreier, Peter J
Joint detection of almost-cyclostationary signals and estimation of their cycle period Artículo de revista
En: IEEE Signal Process. Lett., vol. 25, no 11, pp. 1695–1699, 2018, ISSN: 1070-9908.
Resumen | Enlaces | BibTeX | Etiquetas:
@article{b_110,
title = {Joint detection of almost-cyclostationary signals and estimation of their cycle period},
author = {S Horstmann and David Ram\'{i}rez and Peter J Schreier},
doi = {10.1109/LSP.2018.2871961},
issn = {1070-9908},
year = {2018},
date = {2018-00-01},
journal = {IEEE Signal Process. Lett.},
volume = {25},
number = {11},
pages = {1695--1699},
abstract = {We propose a technique that jointly detects the presence of almost-cyclostationary (ACS) signals in wide-sense stationary (WSS) noise and provides an estimate of their cycle period. Since the cycle period of an ACS process is not an integer, the approach is based on a combination of a resampling stage and a multiple hypothesis test, which deal separately with the fractional part and the integer part of the cycle period. The approach requires resampling the signal at many different rates, which is computationally expensive. For this reason we propose a filter bank structure that allows us to efficiently resample a signal at many different rates by identifying common interpolation stages among the set of resampling rates.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
2017
Olmos, Pablo M; Mitchell, David G M; Truhachev, Dimitri; Costello, Daniel J
Continuous Transmission of Spatially Coupled LDPC Code Chains Artículo de revista
En: IEEE Transactions on Communications, vol. 65, no 12, pp. 5097-5109, 2017, ISSN: 0090-6778.
BibTeX | Etiquetas:
@article{8003438,
title = {Continuous Transmission of Spatially Coupled LDPC Code Chains},
author = {Pablo M Olmos and David G M Mitchell and Dimitri Truhachev and Daniel J Costello},
issn = {0090-6778},
year = {2017},
date = {2017-12-01},
journal = {IEEE Transactions on Communications},
volume = {65},
number = {12},
pages = {5097-5109},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Mariño, Inés P.; Zaikin, Alexey; Míguez, Joaquín
A comparison of Monte Carlo-based Bayesian parameter estimation methods for stochastic models of genetic networks Artículo de revista
En: PLoS ONE, vol. 12(8), no e0182015, 2017.
Enlaces | BibTeX | Etiquetas: Bayesian estimation
@article{JMiguez17,
title = {A comparison of Monte Carlo-based Bayesian parameter estimation methods for stochastic models of genetic networks},
author = {In\'{e}s P. Mari\~{n}o and Alexey Zaikin and Joaqu\'{i}n M\'{i}guez},
doi = {https://doi.org/10.1371/journal.pone.0182015},
year = {2017},
date = {2017-08-10},
urldate = {2017-08-10},
journal = {PLoS ONE},
volume = {12(8)},
number = {e0182015},
keywords = {Bayesian estimation},
pubstate = {published},
tppubtype = {article}
}
Santos, Irene; Murillo-Fuentes, Juan José; Arias-de-Reyna, Eva; Olmos, Pablo M
Probabilistic Equalization With a Smoothing Expectation Propagation Approach Artículo de revista
En: IEEE Transactions on Wireless Communications, vol. 16, no 5, pp. 2950-2962, 2017, ISSN: 1536-1276.
@article{7880668,
title = {Probabilistic Equalization With a Smoothing Expectation Propagation Approach},
author = {Irene Santos and Juan Jos\'{e} Murillo-Fuentes and Eva Arias-de-Reyna and Pablo M Olmos},
doi = {10.1109/TWC.2017.2672746},
issn = {1536-1276},
year = {2017},
date = {2017-05-01},
journal = {IEEE Transactions on Wireless Communications},
volume = {16},
number = {5},
pages = {2950-2962},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Jimenez, Víctor Gil P; Lancho, Alejandro; Guzman, Borja Genoves; Armada, Ana Garcia
Learning Mobile Communications Standards through Flexible Software Defined Radio Base Stations Artículo de revista
En: IEEE Communications Magazine, vol. 55, no 5, pp. 116-123, 2017, ISSN: 0163-6804.
@article{VPGil_2017,
title = {Learning Mobile Communications Standards through Flexible Software Defined Radio Base Stations},
author = {V\'{i}ctor Gil P Jimenez and Alejandro Lancho and Borja Genoves Guzman and Ana Garcia Armada},
doi = {10.1109/MCOM.2017.1601219},
issn = {0163-6804},
year = {2017},
date = {2017-05-01},
journal = {IEEE Communications Magazine},
volume = {55},
number = {5},
pages = {116-123},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Elvira, Victor; Martino, Luca; Luengo, David; Bugallo, Monica F
Improving Population Monte Carlo: Alternative Weighting and Resampling Schemes Artículo de revista
En: Signal Processing, vol. 131, pp. 77–91, 2017, ISSN: 01651684.
Resumen | Enlaces | BibTeX | Etiquetas: Adaptive importance sampling, Journal, population Monte Carlo, Proposal distribution, Resampling
@article{Elvira2017,
title = {Improving Population Monte Carlo: Alternative Weighting and Resampling Schemes},
author = {Victor Elvira and Luca Martino and David Luengo and Monica F Bugallo},
url = {http://www.sciencedirect.com/science/article/pii/S0165168416301633},
doi = {10.1016/j.sigpro.2016.07.012},
issn = {01651684},
year = {2017},
date = {2017-02-01},
journal = {Signal Processing},
volume = {131},
pages = {77--91},
abstract = {Population Monte Carlo (PMC) sampling methods are powerful tools for approximating distributions of static unknowns given a set of observations. These methods are iterative in nature: at each step they generate samples from a proposal distribution and assign them weights according to the importance sampling principle. Critical issues in applying PMC methods are the choice of the generating functions for the samples and the avoidance of the sample degeneracy. In this paper, we propose three new schemes that considerably improve the performance of the original PMC formulation by allowing for better exploration of the space of unknowns and by selecting more adequately the surviving samples. A theoretical analysis is performed, proving the superiority of the novel schemes in terms of variance of the associated estimators and preservation of the sample diversity. Furthermore, we show that they outperform other state of the art algorithms (both in terms of mean square error and robustness w.r.t. initialization) through extensive numerical simulations.},
keywords = {Adaptive importance sampling, Journal, population Monte Carlo, Proposal distribution, Resampling},
pubstate = {published},
tppubtype = {article}
}
Vázquez, Manuel A; Míguez, Joaquín
A Robust Scheme for Distributed Particle Filtering in Wireless Sensors Networks Artículo de revista
En: Signal Processing, vol. 131, pp. 190–201, 2017, ISSN: 01651684.
Resumen | Enlaces | BibTeX | Etiquetas: Distributed particle filtering (DPF), Journal, Median posterior, Robust statistics, Sequential Monte Carlo Methods (SMC), Wireless sensors networks (WSNs)
@article{Vazquez2017,
title = {A Robust Scheme for Distributed Particle Filtering in Wireless Sensors Networks},
author = {Manuel A V\'{a}zquez and Joaqu\'{i}n M\'{i}guez},
url = {http://www.sciencedirect.com/science/article/pii/S016516841630189X},
doi = {10.1016/j.sigpro.2016.08.003},
issn = {01651684},
year = {2017},
date = {2017-02-01},
journal = {Signal Processing},
volume = {131},
pages = {190--201},
abstract = {Wireless sensor networks (WSNs) have become a popular technology for a broad range of applications where the goal is to track and forecast the evolution of time-varying physical magnitudes. Several authors have investigated the use of particle filters (PFs) in this scenario. PFs are very flexible, Monte Carlo based algorithms for tracking and prediction in state-space dynamical models. However, to implement a PF in a WSN, the algorithm should run over different nodes in the network to produce estimators based on locally collected data. These local estimators then need to be combined so as to produce a global estimator. Existing approaches to the problem are either heuristic or well-principled but impractical (as they impose stringent conditions on the WSN communication capacity). Here, we introduce a novel distributed PF that relies on the computation of median posterior probability distributions in order to combine local Bayesian estimators (obtained at different nodes) in a way that is efficient, both computation and communication-wise. An extensive simulation study for a target tracking problem shows that the proposed scheme is competitive with existing consensus-based distributed PFs in terms of estimation accuracy, while it clearly outperforms these methods in terms of robustness and communication requirements.},
keywords = {Distributed particle filtering (DPF), Journal, Median posterior, Robust statistics, Sequential Monte Carlo Methods (SMC), Wireless sensors networks (WSNs)},
pubstate = {published},
tppubtype = {article}
}
Yiu, Simon; Dashti, Marzieh; Claussen, Holger; Perez-Cruz, Fernando
Wireless RSSI Fingerprinting Localization Artículo de revista
En: Signal Processing, vol. 131, pp. 235–244, 2017, ISSN: 01651684.
Resumen | Enlaces | BibTeX | Etiquetas: Fingerprinting localization, Gaussian Process, Journal, Location-based service (LBS), Machine learning, Non-parametric model, Pathloss model, Received signal strength indicator (RSSI)
@article{Yiu2017,
title = {Wireless RSSI Fingerprinting Localization},
author = {Simon Yiu and Marzieh Dashti and Holger Claussen and Fernando Perez-Cruz},
doi = {10.1016/j.sigpro.2016.07.005},
issn = {01651684},
year = {2017},
date = {2017-02-01},
journal = {Signal Processing},
volume = {131},
pages = {235--244},
abstract = {Localization has attracted a lot of research effort in the last decade due to the explosion of location based service (LBS). In particular, wireless fingerprinting localization has received much attention due to its simplicity and compatibility with existing hardware. In this work, we take a closer look at the underlying aspects of wireless fingerprinting localization. First, we review the various methods to create a radiomap. In particular, we look at the traditional fingerprinting method which is based purely on measurements, the parametric pathloss regression model and the non-parametric Gaussian Process (GP) regression model. Then, based on these three methods and measurements from a real world deployment, the various aspects such as the density of access points (APs) and impact of an outdated signature map which affect the performance of fingerprinting localization are examined. At the end of the paper, the audiences should have a better understanding of what to expect from fingerprinting localization in a real world deployment.},
keywords = {Fingerprinting localization, Gaussian Process, Journal, Location-based service (LBS), Machine learning, Non-parametric model, Pathloss model, Received signal strength indicator (RSSI)},
pubstate = {published},
tppubtype = {article}
}
Santos, Irene; Murillo-Fuentes, Juan Jose; Boloix-Tortosa, Rafael; Arias-de-Reyna, Eva; Olmos, Pablo M
Expectation Propagation as Turbo Equalizer in ISI Channels Artículo de revista
En: IEEE Transactions on Communications, vol. 65, no 1, pp. 360–370, 2017, ISSN: 0090-6778.
Resumen | Enlaces | BibTeX | Etiquetas: BCJR, complex-valued, Expectation propagation (EP), ISI, Journal, turbo equalization
@article{Santos2017,
title = {Expectation Propagation as Turbo Equalizer in ISI Channels},
author = {Irene Santos and Juan Jose Murillo-Fuentes and Rafael Boloix-Tortosa and Eva Arias-de-Reyna and Pablo M Olmos},
url = {http://ieeexplore.ieee.org/document/7587428/},
doi = {10.1109/TCOMM.2016.2616141},
issn = {0090-6778},
year = {2017},
date = {2017-01-01},
journal = {IEEE Transactions on Communications},
volume = {65},
number = {1},
pages = {360--370},
abstract = {In probabilistic equalization of channels with inter-symbol interference, the BCJR algorithm and its approximations become intractable for high-order modulations, even for moderate channel dispersions. In this paper, we introduce a novel soft equalizer to approximate the symbol a posteriori probabilities (APP), where the expectation propagation (EP) algorithm is used to provide an accurate estimation. This new soft equalizer is presented as a block solution, denoted as block-EP (BEP), where the structure of the matrices involved is exploited to reduce the complexity order to O(LN2) , i.e., linear in the length of the channel, L , and quadratic in the frame length, N . The solution is presented in complex-valued formulation within a turbo equalization scheme. This algorithm can be cast as a linear minimum-mean-squared-error (LMMSE) turbo equalization with double feedback architecture, where constellations being discrete is a restriction exploited by the EP that provides a first refinement of the APP. In the experiments included, the BEP exhibits a robust performance, regardless of the channel response, with gains in the range 1.5\textendash5 dB compared with the LMMSE equalization.},
keywords = {BCJR, complex-valued, Expectation propagation (EP), ISI, Journal, turbo equalization},
pubstate = {published},
tppubtype = {article}
}