@inproceedings{AArtes20g,

title = {Multinomial Sampling for hierarchical Change-Point Detection},

author = {Lorena Romero-Medrano and P Moreno-Mu\~{n}oz and Antonio Art\'{e}s-Rodr\'{i}guez},

year  = {2021},

date = {2021-10-08},

urldate = {2020-09-21},

booktitle = {Journal of Signal Processing Systems},

keywords = {Bayesian inference, change-point detection (CPD), latent variable models, multinomial likelihoods},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{GargRamirez,

title = {Sparse subspace averaging for order estimation},

author = {V. Garg and David Ram\'{i}rez and I. Santamar\'{i}a},

doi = {10.1109/SSP49050.2021.9513773},

year  = {2021},

date = {2021-07-01},

urldate = {2021-07-01},

booktitle = {Proc. IEEE Work. Stat. Signal Process.},

address = {Rio de Janeiro, Brazil},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{9287359,

title = {Kalman-based nested hybrid filters for recursive inference in state-space models},

author = {Sara P\'{e}rez-Vieites and Joaqu\'{i}n M\'{i}guez},

doi = {10.23919/Eusipco47968.2020.9287359},

year  = {2021},

date = {2021-01-01},

booktitle = {2020 28th European Signal Processing Conference (EUSIPCO)},

pages = {2468-2472},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{9287757,

title = {On the computation of marginal likelihood via MCMC for model selection and hypothesis testing},

author = {Fernando Llorente and Luca Martino and David Delgado and J L\'{o}pez-Santiago},

doi = {10.23919/Eusipco47968.2020.9287757},

year  = {2021},

date = {2021-01-01},

urldate = {2021-01-01},

booktitle = {2020 28th European Signal Processing Conference (EUSIPCO)},

pages = {2373-2377},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Tobi20c,

title = {Bursty Wireless Networks of Bounded Capacity},

author = {Grace Villacr\'{e}s and Tobias Koch and Gonzalo Vazquez-Vilar},

doi = {10.1109/ISIT44484.2020.9174034},

year  = {2020},

date = {2020-06-21},

booktitle = {2020 IEEE International Symposium on Information Theory (ISIT)},

pages = {2959-2964},

keywords = {Signal to noise ratio},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Tobi20d,

title = {A High-SNR Normal Approximation for MIMO Rayleigh Block-Fading Channels},

author = {Chao Qi and Tobias Koch},

doi = {10.1109/ISIT44484.2020.9174409},

year  = {2020},

date = {2020-06-21},

booktitle = {2020 IEEE International Symposium on Information Theory (ISIT)},

pages = {2314-2319},

keywords = {Multiple Input Multiple Output (MIMO), Signal to noise ratio},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Tobi20e,

title = {Capacity per Unit-Energy of Gaussian Random Many-Access Channels},

author = {Jithin Ravi and Tobias Koch},

doi = {10.1109/ISIT44484.2020.9174091},

year  = {2020},

date = {2020-06-21},

booktitle = {2020 IEEE International Symposium on Information Theory (ISIT)},

pages = {3025-3030},

keywords = {Gaussian channels},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{ethz-b-000403243,

title = {On the Per-User Probability of Error in Gaussian Many-Access Channels},

author = {Jithin Ravi and Tobias Koch},

year  = {2020},

date = {2020-01-01},

booktitle = {International Zurich Seminar on Information and Communication (IZS 2020)},

pages = {139-143},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{perez2020nested,

title = {A nested hybrid filter for parameter estimation and state tracking in homogeneous multi-scale models},

author = {Sara P\'{e}rez-Vieites and Joaqu\'{i}n M\'{i}guez},

year  = {2020},

date = {2020-01-01},

booktitle = {2020 IEEE 23rd International Conference on Information Fusion (FUSION)},

pages = {1--8},

organization = {IEEE},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{norbury2020use,

title = {Use of Actigraphy and Ecological Momentary Assessment to Monitor the Impact of COVID-19 on Mood and Behavior in Psychiatric Outpatients: Social Media and Smartphone App Use Predicts Maintenance of Physical Activity},

author = {Agnes Norbury and Shelley Liu and Maria Luisa Barrigon and Juan Jose Campana-Montes and Lorena Romero-Medrano and Emma Smith and Elizabeth Ramjas and Antonio Art\'{e}s-Rodr\'{i}guez and Enrique Baca-Garcia and Mercedes M Perez-Rodriguez},

year  = {2020},

date = {2020-01-01},

booktitle = {NEUROPSYCHOPHARMACOLOGY},

volume = {45},

number = {SUPPL 1},

pages = {300--300},

organization = {SPRINGERNATURE CAMPUS, 4 CRINAN ST, LONDON, N1 9XW, ENGLAND},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{kim2020sleep,

title = {Sleep Dynamics, Weight, and Appetite in a Prospective Cohort of Psychiatric Patients During COVID-19},

author = {Youngjung Kim and Juan Jose Campa\~{n}a-Montes and Antonio Art\'{e}s-Rodr\'{i}guez and Enrique Baca-Garcia and Mercedes M Perez-Rodriguez},

year  = {2020},

date = {2020-01-01},

booktitle = {NEUROPSYCHOPHARMACOLOGY},

volume = {45},

number = {SUPPL 1},

pages = {254--255},

organization = {SPRINGERNATURE CAMPUS, 4 CRINAN ST, LONDON, N1 9XW, ENGLAND},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{aradillas2020improving,

title = {Improving offline HTR in small datasets by purging unreliable labels},

author = {Jos\'{e} Carlos Aradillas and Juan Jos\'{e} Murillo-Fuentes and Pablo M Olmos},

year  = {2020},

date = {2020-01-01},

booktitle = {2020 17th International Conference on Frontiers in Handwriting Recognition (ICFHR)},

pages = {25--30},

organization = {IEEE},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{rios2020hidden,

title = {Hidden Markov Models for Activity Detection in Atrial Fibrillation Electrograms},

author = {Gonzalo R\'{i}os-Mu\~{n}oz and Fernando Moreno-Pino and Nina Soto and Pablo M Olmos and Antonio Art\'{e}s-Rodr\'{i}guez and Francisco Fernandez-Aviles and Angel Arenal},

year  = {2020},

date = {2020-01-01},

booktitle = {2020 Computing in Cardiology},

pages = {1--4},

organization = {IEEE},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{9322143,

title = {On the Design of Generalized LDPC Codes with Component BCJR Decoding},

author = {Yanfang Liu and Pablo M Olmos and David G M Mitchell},

doi = {10.1109/GLOBECOM42002.2020.9322143},

year  = {2020},

date = {2020-01-01},

booktitle = {GLOBECOM 2020 - 2020 IEEE Global Communications Conference},

pages = {1-6},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Bonilla-EscribanoRamirezArtes-Rodriguez-2020,

title = {Modeling phone call durations via switching Poisson processes with applications in mental health},

author = {P Bonilla-Escribano and David Ram\'{i}rez and Antonio Art\'{e}s-Rodr\'{i}guez},

year  = {2020},

date = {2020-00-01},

booktitle = {Proc. IEEE Int. Work. Machine Learning for Signal Process.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Moreno-MunozRamirezArtes-Rodriguez-2020,

title = {Continual learning for infinite hierarchical change-point detection},

author = {P Moreno-Mu\~{n}oz and David Ram\'{i}rez and Antonio Art\'{e}s-Rodr\'{i}guez},

doi = {10.1109/ICASSP40776.2020.9053853},

year  = {2020},

date = {2020-00-01},

booktitle = {Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process.},

address = {Barcelona, Spain},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{XiaoRamirezSchreier-2020,

title = {A general test for the linear structure of covariance matrices of Gaussian populations},

author = {Y -H Xiao and David Ram\'{i}rez and Peter J Schreier},

doi = {10.1109/ICASSP40776.2020.9053718},

year  = {2020},

date = {2020-00-01},

booktitle = {Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process.},

address = {Barcelona, Spain},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{JMiguez19c,

title = {Multilayer Models of Random Sequences: Representability and Inference via Nonlinear Population Monte Carlo},

author = {Joaqu\'{i}n Miguez and Lucas Lacasa and Jos\'{e} A. Mart\'{i}nez-Ord\'{o}\~{n}ez and In\'{e}s P. Mari\~{n}o},

doi = {10.1109/CAMSAP45676.2019.9022529},

year  = {2019},

date = {2019-12-15},

booktitle = {2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)},

keywords = {Markov chains, Multilayer networks, population Monte Carlo, random sequences},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{gvazquez-isit2019,

title = {On the Error Probability of Optimal Codes in Gaussian Channels under Maximal Power Constraint},

author = {Gonzalo Vazquez-Vilar},

year  = {2019},

date = {2019-07-01},

booktitle = {2019 IEEE International Symposium on Information Theory (ISIT 2019)},

address = {Paris, France},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{8849659,

title = {Saddlepoint Approximations for Noncoherent Single-Antenna Rayleigh Block-Fading Channels},

author = {Alejandro Lancho and Johan \"{O}stman and Giuseppe Durisi and Tobias Koch and Gonzalo Vazquez-Vilar},

year  = {2019},

date = {2019-01-01},

booktitle = {2019 IEEE International Symposium on Information Theory (ISIT)},

pages = {612-616},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{8849751,

title = {Capacity per Unit-Energy of Gaussian Many-Access Channels},

author = {Jithin Ravi and Tobias Koch},

year  = {2019},

date = {2019-01-01},

booktitle = {2019 IEEE International Symposium on Information Theory (ISIT)},

pages = {2763-2767},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{BonillaEscribano2019MixturesOH,

title = {Mixtures of Heterogeneous Poisson Processes for the Assessment of e-Social Activity in Mental Health},

author = {P Bonilla-Escribano and David Ram\'{i}rez and Antonio Art\'{e}s-Rodr\'{i}guez},

year  = {2019},

date = {2019-01-01},

abstract = {This work introduces a novel method to assess the social activity maintained by psychiatric patients using information and communication technologies. In particular, we jointly model using point processes the e-social activity patterns from two heterogeneous sources: the usage of phone calls and social and communication apps. We propose a nonhomogeneous Poisson mixture model with periodic (circadian) intensity function using a truncated Fourier series expansion, which is inferred using a trust-region algorithm, and it is able to cope with the different daily patterns of a person. The analysis of the usage of phone calls and social and communication apps of a cohort of 164 patients reveals that 25 patterns suffice to characterize their daily behavior.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{perez2019second,

title = {Second Order Subspace Statistics for Adaptive State-Space Partitioning in Multiple Particle Filtering},

author = {Sara P\'{e}rez-Vieites and Jordi Vil\'{a}-Valls and M\'{o}nica F Bugallo and Joaqu\'{i}n M\'{i}guez and Pau Closas},

doi = {10.1109/CAMSAP45676.2019.9022449},

year  = {2019},

date = {2019-01-01},

urldate = {2019-01-01},

booktitle = {2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)},

pages = {609-613},

organization = {IEEE},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{9049072,

title = {Finite-Blocklength Approximations for Noncoherent Rayleigh Block-Fading Channels},

author = {Alejandro Lancho and Johan \"{O}stman and Tobias Koch and Gonzalo Vazquez-Vilar},

doi = {10.1109/IEEECONF44664.2019.9049072},

year  = {2019},

date = {2019-01-01},

booktitle = {2019 53rd Asilomar Conference on Signals, Systems, and Computers},

pages = {815-819},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{9049072b,

title = {Finite-Blocklength Approximations for Noncoherent Rayleigh Block-Fading Channels},

author = {Alejandro Lancho and Johan \"{O}stman and Tobias Koch and Gonzalo Vazquez-Vilar},

doi = {10.1109/IEEECONF44664.2019.9049072},

year  = {2019},

date = {2019-01-01},

urldate = {2019-01-01},

booktitle = {2019 53rd Asilomar Conference on Signals, Systems and Computers},

pages = {815-819},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{HorstmannRamirezSchreier-2019,

title = {Two-channel passive detection of cyclostationary signals in noise with spatio-temporal structure},

author = {S Horstmann and David Ram\'{i}rez and Peter J Schreier and Aaron Pries},

doi = {10.1109/IEEECONF44664.2019.9048746},

year  = {2019},

date = {2019-00-01},

booktitle = {Asilomar Conf. Signals, Syst. and Computers},

address = {Pacific Grove, USA},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{HorstmannRamirezSchreier-2019b,

title = {Two-channel passive detection exploiting cyclostationarity},

author = {S Horstmann and David Ram\'{i}rez and Peter J Schreier},

doi = {10.23919/EUSIPCO.2019.8902989},

year  = {2019},

date = {2019-00-01},

booktitle = {Proc. Eur. Signal Process. Conf.},

address = {A Coru~na, Spain},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{JMiguez18d,

title = {A Comparison Of Clipping Strategies For Importance Sampling},

author = {Luca Martino and Victor Elvira and Joaqu\'{i}n Miguez and Antonio Art\'{e}s-Rodr\'{i}guez and Petar M Djuric},

doi = {10.1109/SSP.2018.8450722},

year  = {2018},

date = {2018-06-10},

booktitle = {2018 IEEE Statistical Signal Processing Workshop (SSP)},

keywords = {Bayesian inference, Importance sampling, Monte Carlo methods, Parameter estimation, Variance Reduction methods},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{JMiguez18e,

title = {A Probabilistic Approach for Adaptive State-Space Partitioning},

author = {Jordi Vil\`{a}-Valls and Pau Closas and M\'{o}nica F Bugallo and Joaqu\'{i}n Miguez},

doi = {10.1109/SSP.2018.8450821},

year  = {2018},

date = {2018-06-10},

journal = {2018 IEEE Statistical Signal Processing Workshop (SSP)},

keywords = {Adaptive state partitioning, correlated subspaces, multiple Gaussian filtering, uncertainty exchange},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{gvazquez-isit2018b,

title = {Saddlepoint approximation of the error probability of binary hypothesis testing},

author = {Gonzalo Vazquez-Vilar and Albert Guillen i Fabregas and Tobias Koch and Alejandro Lancho},

year  = {2018},

date = {2018-06-01},

booktitle = {2018 IEEE International Symposium on Information Theory (ISIT 2018)},

address = {Vail, USA},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{gvazquez-isit2018a,

title = {The error probability of generalized perfect codes},

author = {Gonzalo Vazquez-Vilar and Albert Guillen i Fabregas and Sergio Verdu},

year  = {2018},

date = {2018-06-01},

booktitle = {2018 IEEE International Symposium on Information Theory (ISIT 2018)},

address = {Vail, USA},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{8437597,

title = {Design of Discrete Constellations for Peak-Power-Limited complex Gaussian Channels},

author = {Wasim Huleihel and Ziv Goldfeld and Tobias Koch and Mokshay Madiman and Muriel M\'{e}dard},

year  = {2018},

date = {2018-06-01},

booktitle = {2018 IEEE International Symposium on Information Theory (ISIT)},

pages = {556-560},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{JMiguez18f,

title = {The Incremental Proximal Method: A Probabilistic Perspective},

author = {O. D. Akyildiz and V\'{i}ctor Elvira and Joaqu\'{i}n M\'{i}guez},

doi = {10.1109/ICASSP.2018.8462131},

issn = {2379-190X},

year  = {2018},

date = {2018-04-15},

booktitle = {2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},

keywords = {Incremental proximal methods, Kalman filtering, Stochastic optimization},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{IglesiasSegarraRey-Escudero:2018,

title = {Demixing and blind deconvolution of graph-diffused sparse signals},

author = {Fernando J Iglesias and Santiago Segarra and Samuel Rey-Escudero and Antonio G Marques and David Ram\'{i}rez},

year  = {2018},

date = {2018-04-01},

booktitle = {Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process.},

address = {Calgary, Canada},

abstract = {This paper generalizes the classical joint problem of signal demixing and blind deconvolution to the realm of graphs. We investigate a setup where a single observation formed by the sum of multiple textitgraph signals is available. The main assumption is that each individual signal is generated by an originally textitsparse input diffused through the graph via the application of a textitgraph filter. In this context, we address the related problems of: 1) separating the individual graph signals, 2) identifying the unknown input supports, and 3) estimating the coefficients of the diffusing graph filters. We first consider the case where each signal -- prior to mixing -- is diffused in a different graph. We then particularize the results for the more challenging case where all the signals are diffused in the same graph. The corresponding demixing and blind graph-signal deconvolution problems are formulated, convex relaxations are presented, and recovery conditions are discussed. Numerical experiments in both the single and multiple graph cases show the capabilities of demixing in synthetic and biology-inspired graphs.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{RamirezRomeroVia:2018,

title = {Locally optimal invariant detector for testing equality of two power spectral densities},

author = {David Ram\'{i}rez and D Romero and Javier V\'{i}a and Roberto L\'{o}pez-Valcarce and Ignacio Santamar\'{i}a},

year  = {2018},

date = {2018-04-01},

booktitle = {Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process.},

address = {Calgary, Canada},

abstract = {This work addresses the problem of determining whether two multivariate random time series have the same power spectral density (PSD), which has applications, for instance, in physical-layer security and cognitive radio. Remarkably, existing detectors for this problem do not usually provide any kind of optimality. Thus, we study here the existence under the Gaussian assumption of optimal invariant detectors for this problem, proving that the uniformly most powerful invariant test (UMPIT) does not exist. Thus, focusing on close hypotheses, we show that the locally most powerful invariant test (LMPIT) only exists for univariate time series. In the multivariate case, we prove that the LMPIT does not exist. However, this proof suggests two LMPIT-inspired detectors, one of which outperforms previously proposed approaches, as computer simulations show.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{gvazquez-ciss2018,

title = {Saddlepoint Approximations of Lower and Upper Bounds to the Error Probability in Channel Coding},

author = {Josep Font-Segura and Gonzalo Vazquez-Vilar and Alfonso Martinez and Albert Guill\'{e}n i F\'{a}bregas and Alejandro Lancho},

year  = {2018},

date = {2018-03-01},

booktitle = {52th Annual Conference on Information Sciences and Systems (CISS)},

address = {Princeton, USA},

note = {Invited},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{8362297,

title = {Normal approximations for fading channels},

author = {Alejandro Lancho and Tobias Koch and Giuseppe Durisi},

year  = {2018},

date = {2018-03-01},

booktitle = {2018 52nd Annual Conference on Information Sciences and Systems (CISS)},

pages = {1-6},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{koch_izs2018,

title = {On the Information Dimension Rate of Multivariate Gaussian Processes},

author = {Bernhard C Geiger and Tobias Koch},

year  = {2018},

date = {2018-02-01},

booktitle = {2018 International Zurich Seminar on Information and Communication (IZS)},

pages = {56 - 60},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Ruiz2017a,

title = {Caracterizaci\'{o}n del sustrato de los sitios de activaci\'{o}n rotacional en Fibrilaci\'{o}n Auricular Persistente: An\'{a}lisis en funci\'{o}n del ritmo},

author = {Pablo Ruiz M Hernandez and Gonzalo R\'{i}os-Mu\~{n}oz and Evaristo Castellanos and Pablo \'{A}vila and Felipe Atienza and Antonio Art\'{e}s-Rodr\'{i}guez and Francisco Fernandez-Aviles and \'{A}ngel Arenal},

year  = {2018},

date = {2018-01-01},

booktitle = {RITMO18},

address = {Sevilla},

abstract = {La Fibrilaci\'{o}n Auricular (FA) persistente ha mostrado tasas de recurrencia sub\'{o}ptima tras aislamiento de las venas pulmonares. Los sitios de activaci\'{o}n rotacional (rotores), podr\'{i}an estar relacionados con la fibrosis. El mapeo electroanat\'{o}mico de alta densidad con microelectrodos (MADM) asociado a un sistema de localizaci\'{o}n de rotores podr\'{i}a mejorar estos resultados. Objetivo: Caracterizar el voltaje del tejido donde se asientan los rotores, en FA y en ritmo sinusal (RS), de pacientes con FA persistente. El an\'{a}lisis muestra que los rotores se localizan en zonas de voltaje que no corresponden con los umbrales cl\'{a}sicos que identifica la cicatriz, de entre 0.1 y 0.5 mV. El an\'{a}lisis en FA presenta una menor dispersi\'{o}n, por lo que ser\'{i}a preferible para identificar los umbrales de voltaje y reducir en lo posible las zonas donde buscar rotores. El an\'{a}lisis de la actividad rotacional podr\'{i}a mejorar los resultados del tratamiento invasivo de la FA.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{jaramillo2018boosting,

title = {Boosting handwriting text recognition in small databases with transfer learning},

author = {Jos\'{e} Carlos Aradillas and Juan Jos\'{e} Murillo-Fuentes and Pablo M Olmos},

year  = {2018},

date = {2018-01-01},

booktitle = {2018 16th International Conference on Frontiers in Handwriting Recognition (ICFHR)},

pages = {429--434},

organization = {IEEE},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{liu2018generalizedb,

title = {On Generalized LDPC Codes for 5G Ultra Reliable Communication},

author = {Yanfang Liu and Pablo M Olmos and David G M Mitchell},

year  = {2018},

date = {2018-01-01},

booktitle = {2018 IEEE Information Theory Workshop (ITW)},

pages = {1--5},

organization = {IEEE},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{costello2018spatially,

title = {Spatially coupled generalized LDPC codes: Introduction and overview},

author = {Daniel J Costello and David G M Mitchell and Pablo M Olmos and Michael Lentmaier},

year  = {2018},

date = {2018-01-01},

booktitle = {2018 IEEE 10th International Symposium on Turbo Codes \& Iterative Information Processing (ISTC)},

pages = {1--6},

organization = {IEEE},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{8645554,

title = {Distributed Multiple Gaussian Filtering for Multiple Target Localization in Wireless Sensor Networks},

author = {Jordi Vil\`{a}-Valls and Pau Closas and Monica F Bugallo and Joaqu\'{i}n M\'{i}guez},

doi = {10.1109/ACSSC.2018.8645554},

year  = {2018},

date = {2018-01-01},

urldate = {2018-01-01},

booktitle = {2018 52nd Asilomar Conference on Signals, Systems and Computers},

pages = {1439-1443},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{8743775,

title = {Particle Filter Tracking of Complex Stochastic Systems Applied to In Silico Wavefront Propagation},

author = {Gonzalo R R\'{i}os-Mu\~{n}oz and Antonio Art\'{e}s-Rodr\'{i}guez and Joaqu\'{i}n M\'{i}guez},

doi = {10.22489/CinC.2018.233},

year  = {2018},

date = {2018-01-01},

urldate = {2018-01-01},

booktitle = {2018 Computing in Cardiology Conference (CinC)},

volume = {45},

pages = {1-4},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{RamirezSantamariaVaerenbergh-2018,

title = {An alternating optimization algorithm for two-channel factor analysis with common and uncommon factors},

author = {David Ram\'{i}rez and Ignacio Santamar\'{i}a and Steven Van Vaerenbergh and L L Scharf},

doi = {10.1109/ACSSC.2018.8645457},

year  = {2018},

date = {2018-00-01},

booktitle = {Proc. Asilomar Conf. Signals, Syst. and Computers},

address = {Pacific Grove, USA},

abstract = {An alternating optimization algorithm is presented and analyzed for identifying low-rank signal components, known in factor analysis terminology as common factors, that are correlated across two multiple-input multiple-output (MIMO) channels. The additive noise model at each of the MIMO channels consists of white uncorrelated noises of unequal variances plus a low-rank structured interference that is not correlated across the two channels. The low-rank components at each channel represent uncommon or channel-specific factors.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{EguizabalSchreierRamirez-2018,

title = {Model-order selection in statistical shape models},

author = {Alma Eguizabal and Peter J Schreier and David Ram\'{i}rez},

doi = {10.1109/MLSP.2018.8516941},

year  = {2018},

date = {2018-00-01},

booktitle = {Proc. IEEE Int. Work. Machine Learning for Signal Process.},

address = {Aalborg, Denmark},

abstract = {Statistical shape models enhance machine learning algorithms providing prior information about deformation. A Point Distribution Model (PDM) is a popular landmark-based statistical shape model for segmentation. It requires choosing a model order, which determines how much of the variation seen in the training data is accounted for by the PDM. A good choice of the model order depends on the number of training samples and the noise level in the training data set. Yet the most common approach for choosing the model order simply keeps a predetermined percentage of the total shape variation. In this paper, we present a technique for choosing the model order based on information-theoretic criteria, and we show empirical evidence that the model order chosen by this technique provides a good trade-off between over- and underfitting.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{SantamariaRamirezScharf-2018,

title = {Subspace averaging for source enumeration in large arrays},

author = {Ignacio Santamar\'{i}a and David Ram\'{i}rez and L L Scharf},

doi = {10.1109/SSP.2018.8450837},

year  = {2018},

date = {2018-00-01},

booktitle = {Proc. IEEE Work. Stat. Signal Process.},

address = {Freiburg, Germany},

abstract = {Subspace averaging is proposed and examined as a method of enumerating sources in large linear arrays, under conditions of low sample support. The key idea is to exploit shift invariance as a way of extracting many subspaces, which may then be approximated by a single extrinsic average. An automatic order determination rule for this extrinsic average is then the rule for determining the number of sources. Experimental results are presented for cases where the number of array snapshots is roughly half the number of array elements, and sources are well separated with respect to the Rayleigh limit.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{JMiguez17c,

title = {Adaptive noisy importance sampling for stochastic optimization},

author = {O. D. Akyildiz and In\'{e}s P. Mari\~{n}o and Joaqu\'{i}n M\'{i}guez},

doi = {10.1109/CAMSAP.2017.8313215},

year  = {2017},

date = {2017-12-10},

booktitle = {2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)},

keywords = {adaptive noisy importance sampler, Optimization},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{HorstmannRamirezSchreier:2017,

title = {Detection of almost-cyclostationarity: An approach based on a multiple hypothesis test},

author = {S Horstmann and David Ram\'{i}rez and Peter J Schreier},

year  = {2017},

date = {2017-10-01},

booktitle = {Proc. Asilomar Conf. Signals Syst. Computers},

address = {Pacific Grove, USA},

abstract = {This work presents a technique to detect whether a signal is almost cyclostationary (ACS) or wide-sense stationary (WSS). Commonly, ACS (and also CS) detectors require a priori knowledge of the cycle period, which in the ACS case is not an integer. To tackle the case of unknown cycle period, we propose an approach that combines a resampling technique, which handles the fractional part of the cycle period and allows the use of the generalized likelihood ratio test (GLRT), with a multiple hypothesis test, which handles the integer part of the cycle period. We control the probability of false alarm based on the known distribution of the individual GLRT statistic, results from order statistics, and the Holm multiple test procedure. To evaluate the performance of the proposed detector we consider a communications example, where simulation results show that the proposed technique outperforms state-of-the-art competitors.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{JMiguez17b,

title = {On the performance of nonlinear importance samplers and population Monte Carlo schemes},

author = {Joaqu\'{i}n M\'{i}guez},

doi = {10.1109/ICDSP.2017.8096057},

issn = {2165-3577},

year  = {2017},

date = {2017-08-23},

booktitle = {2017 22nd International Conference on Digital Signal Processing (DSP)},

keywords = {Monte Carlo algorithm},

pubstate = {published},

tppubtype = {inproceedings}

}