List of Publications (2008-2017)

Show all


Journal Articles

Míguez, Joaquín; Vázquez, Manuel

A Proof of Uniform Convergence Over Time for a Distributed Particle Filter (Journal Article)

Signal Processing, 122 , pp. 152–163, 2016, ISSN: 01651684.

(Abstract | Links | BibTeX | Tags: Convergence analysis, Distributed algorithms, Journal, Parallelization, Particle filtering, Wireless Sensor Networks)


Journal Articles

Martino, Luca; Elvira, Victor; Luengo, David; Corander,

An Adaptive Population Importance Sampler: Learning From Uncertainty (Journal Article)

IEEE Transactions on Signal Processing, 63 (16), pp. 4422–4437, 2015, ISSN: 1053-587X.

(Abstract | Links | BibTeX | Tags: Adaptive importance sampling, adaptive multiple IS, adaptive population importance sampler, AMIS, APIS, Estimation, Importance sampling, IS estimators, iterative estimation, iterative methods, Journal, MC methods, Monte Carlo (MC) methods, Monte Carlo methods, population Monte Carlo, Proposals, Signal processing algorithms, simple temporal adaptation, Sociology, Standards, Wireless sensor network, Wireless Sensor Networks)


Luengo, David; Martino, Luca; Elvira, Victor; Bugallo, Monica

Bias correction for distributed Bayesian estimators (Inproceeding)

2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), pp. 253–256, IEEE, Cancun, 2015, ISBN: 978-1-4799-1963-5.

(Abstract | Links | BibTeX | Tags: Bayes methods, Big data, Distributed databases, Estimation, Probability density function, Wireless Sensor Networks)



Miguez, Joaquin

On the uniform asymptotic convergence of a distributed particle filter (Inproceeding)

2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM), pp. 241–244, IEEE, A Coruña, 2014, ISBN: 978-1-4799-1481-4.

(Abstract | Links | BibTeX | Tags: ad hoc networks, Approximation algorithms, approximation errors, Approximation methods, classical convergence theorems, Convergence, convergence of numerical methods, distributed particle filter scheme, distributed signal processing algorithms, Monte Carlo methods, parallel computing systems, particle filtering (numerical methods), Signal processing, Signal processing algorithms, stability assumptions, uniform asymptotic convergence, Wireless Sensor Networks, WSNs)



Henao-Mazo,; Bravo-Santos, Ángel

Finding Diverse Shortest Paths for the Routing Task in Wireless Sensor Networks (Inproceeding)

ICSNC 2012. The Seventh International Conference on Systems and Networks Communications, Lisboa, 2012.

(Abstract | Links | BibTeX | Tags: Diverse Paths., K Shortest, Paths, Wireless Sensor Networks)



Achutegui, Katrin; Miguez, Joaquin

A Parallel Resampling Scheme and its Application to Distributed Particle Filtering in Wireless Networks (Inproceeding)

2011 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), pp. 81–84, IEEE, San Juan, 2011, ISBN: 978-1-4577-2105-2.

(Abstract | Links | BibTeX | Tags: Approximation algorithms, Approximation methods, Artificial neural networks, distributed resampling, DRNA technique, Markov processes, nonproportional allocation algorithm, parallel resampling scheme, PF, quantization, Signal processing, Vectors, Wireless sensor network, Wireless Sensor Networks, WSN)

Plata-Chaves, Jorge; Lazaro,; Artés-Rodríguez, Antonio

Optimal Neyman-Pearson Fusion in Two-Dimensional Densor Networks with Serial Architecture and Dependent Observations (Inproceeding)

Information Fusion (FUSION), 2011 Proceedings of the 14th International Conference on, pp. 1–6, Chicago, 2011, ISBN: 978-1-4577-0267-9.

(Abstract | Links | BibTeX | Tags: Bayesian methods, binary distributed detection problem, decision theory, dependent observations, Joints, local decision rule, Measurement uncertainty, Network topology, Neyman-Pearson criterion, optimal Neyman-Pearson fusion, optimum distributed detection, Parallel architectures, Performance evaluation, Probability density function, sensor dependent observations, sensor fusion, serial architecture, serial network topology, two-dimensional sensor networks, Wireless Sensor Networks)


Journal Articles

Perez-Cruz, Fernando; Kulkarni,

Robust and Low Complexity Distributed Kernel Least Squares Learning in Sensor Networks (Journal Article)

IEEE Signal Processing Letters, 17 (4), pp. 355–358, 2010, ISSN: 1070-9908.

(Abstract | Links | BibTeX | Tags: communication complexity, Consensus, distributed learning, kernel methods, learning (artificial intelligence), low complexity distributed kernel least squares le, message passing, message-passing algorithms, robust nonparametric statistics, sensor network learning, sensor networks, telecommunication computing, Wireless Sensor Networks)


Journal Articles

Lazaro,; Sanchez-Fernandez,; Artés-Rodríguez, Antonio

Optimal Sensor Selection in Binary Heterogeneous Sensor Networks (Journal Article)

IEEE Transactions on Signal Processing, 57 (4), pp. 1577–1587, 2009, ISSN: 1053-587X.

(Abstract | Links | BibTeX | Tags: binary heterogeneous sensor networks, discrimination performance, Energy scaling, object detection, optimal sensor selection, performance-cost ratio, sensor networks, sensor selection, symmetric Kullback-Leibler divergence, target detection problem, Wireless Sensor Networks)


Bravo-Santos, Ángel; Djuric, Petar

Cooperative Relay Communications in Mesh Networks (Inproceeding)

2009 IEEE 10th Workshop on Signal Processing Advances in Wireless Communications, pp. 499–503, IEEE, Perugia, 2009, ISBN: 978-1-4244-3695-8.

(Abstract | Links | BibTeX | Tags: binary transmission, bit error probability, Bit error rate, cooperative relay communications, decode-and-forward relays, Detectors, error statistics, Maximum likelihood decoding, maximum likelihood detection, Mesh networks, mesh wireless networks, multi-hop networks, Network topology, optimal node decision rules, Peer to peer computing, radio networks, Relays, spread spectrum communication, telecommunication network topology, Wireless Sensor Networks)

Perez-Cruz, Fernando; Kulkarni,

Distributed Least Square for Consensus Building in Sensor Networks (Inproceeding)

2009 IEEE International Symposium on Information Theory, pp. 2877–2881, IEEE, Seoul, 2009, ISBN: 978-1-4244-4312-3.

(Abstract | Links | BibTeX | Tags: Change detection algorithms, Channel Coding, Distributed computing, distributed least square method, graphical models, Inference algorithms, Kernel, Least squares methods, nonparametric statistics, Parametric statistics, robustness, sensor-network learning, statistical analysis, Telecommunication network reliability, Wireless sensor network, Wireless Sensor Networks)