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2010

Journal Articles

Perez-Cruz, Fernando ; Kulkarni, S R

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

Martino, Luca ; Miguez, Joaquin

Generalized Rejection Sampling Schemes and Applications in Signal Processing Journal Article

Signal Processing, 90 (11), pp. 2981–2995, 2010.

Abstract | Links | BibTeX | Tags: Adaptive rejection sampling, Gibbs sampling, Monte Carlo integration, Rejection sampling, sensor networks, Target localization

2009

Journal Articles

Lazaro, M; Sanchez-Fernandez, M; 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

Inproceedings

Martino, Luca ; Miguez, Joaquin

An Adaptive Accept/Reject Sampling Algorithm for Posterior Probability Distributions Inproceedings

2009 IEEE/SP 15th Workshop on Statistical Signal Processing, pp. 45–48, IEEE, Cardiff, 2009, ISBN: 978-1-4244-2709-3.

Abstract | Links | BibTeX | Tags: adaptive accept/reject sampling, Adaptive rejection sampling, arbitrary target probability distributions, Computer Simulation, Filtering, Monte Carlo integration, Monte Carlo methods, posterior probability distributions, Probability, Probability density function, Probability distribution, Proposals, Rejection sampling, Sampling methods, sensor networks, Signal processing algorithms, signal sampling, Testing