The Paper «Feature Extraction of Galvanic Skin Responses by Non-Negative Sparse Deconvolution” by Francisco Hernando Gallego, David Luengo and Antonio Artés Rodríguez has been accepted for publication in the IEEE Journal of Biomedical and Health Informatics. Abstract: Wearable sensors are increasingly taking part in daily activities, not only because of the recent society health concern,…

The following paper from the group has been publishedin IEEE Signal Processing Magazine: Monica F Bugallo, Victor Elvira, Luca Martino, David Luengo, Joaquin Miguez, Petar M Djuric. “Adaptive Importance Sampling: The past, the present, and the future”, IEEE Signal Processing Magazine (Volume: 34, Issue: 4, July 2017). Abstract: A fundamental problem in signal processing is the…

The following paper from the group has been published in the MDPI Entropy: Melanie F. Pradier, Pablo M. Olmos and Fernando Perez-Cruz, “Entropy-Constrained Scalar Quantization with a Lossy-Compressed Bit”, MDPI Entropy 2016 volume 18, issue 12. Abstract We consider the compression of a continuous real-valued source X using scalar quantizers and average squared error distortion…

The following paper from the group has been published in the IEEE Transactions on Information Theory: T. Koch, “The Shannon lower bound is asymptotically tight,” IEEE Transactions on Information Theory, Vol. 62, No. 11, November 2016.

The paper “Cooperative Parallel Particle Filters for online model selection and applications to Urban Mobility” by L. Martino, J. Read, V. Elvira, and F. Louzada has been accepted for publication in Digital Signal Processing. Abstract We design a sequential Monte Carlo scheme for the dual purpose of Bayesian inference and model selection. We consider the application context of…

«The paper «Multiantenna GLR Detection of Rank-One Signals with a Known Power Spectral Shape under Spatially Uncorrelated Noise» by  J. Sala-Alvarez, G. Vazquez-Vilar,  R. Lopez-Valcarce, S. Sedighi and A. Taherpour has been accepted for publication in the IEEE Transactions on Signal Processing. Abstract: We establish the generalized likelihood ratio (GLR) test for a Gaussian signal of known power spectral shape and…

The following paper from the group has been published in the Proceedings of the IEEE: G. Durisi, T. Koch, and P. Popovski, «Towards massive, ultrareliable, and low-latency wireless communication with short packets,» Proceedings of the IEEE, Vol. 104, No. 9, September 2016. Abstract: Most of the recent advances in the design of high-speed wireless systems…

The paper “Effective Sample Size for Importance Sampling Based on the Discrepancy Measures” by L. Martino, V. Elvira, and F. Louzada has been accepted for publication in Signal Processing. Abstract: The Effective Sample Size (ESS) is an important measure of efficiency of Monte Carlo methods such as Markov Chain Monte Carlo (MCMC) and Importance Sampling (IS) techniques.…

The paper “Heretical Multiple Importance Sampling” by V. Elvira, L. Martino, D. Luengo, and M. Bugallo has been accepted for publication in IEEE Signal Processing Letters. Abstract: Multiple Importance Sampling (MIS) methods approximate moments of complicated distributions by drawing samples from a set of proposal distributions. Several ways to compute the importance weights assigned to each…

The paper “Orthogonal Parallel MCMC Methods for Sampling and Optimization” by L. Martino, V. Elvira, D. Luengo, J. Corander, and F. Louzada has been accepted for publication in Digital Signal Processing. Abstract: Monte Carlo (MC) methods are widely used in statistics, signal processing and machine learning. A well-known class of MC methods are Markov Chain Monte Carlo (MCMC)…