| ISSN | 2219-5491 |
2010 18th European Signal Processing Conference
Identifiers
Publisher
IEEE
Additional information
Data set: ieee
Articles
article
02010 00018th European Signal Processing Conference > 2010 > 1135 - 1139
In the last two decades, various blind channel equalization algorithms for chaotic communications systems have been developed by exploiting properties peculiar to chaotic signals. Almost in all of these algorithms, however, the propagation channel is assumed to be a single-input singleoutput (SISO) system. As far as we know, there is no study for multiple-input multiple-output (MIMO) unknown channel...
article
02010 00018th European Signal Processing Conference > 2010 > 1159 - 1163
We consider using sparse simplifications to denoise probabilistic sequence models for generative tasks such as speech synthesis. Our proposal is to find the least random model that remains close to the original one according to a KL-divergence constraint, a technique we call minimum entropy rate simplification (MERS). This produces a representation-independent framework for trading off simplicity...
article
02010 00018th European Signal Processing Conference > 2010 > 895 - 899
In this paper, we propose a new approach for blind separation of noisy linear instantaneous mixtures of cyclo-stationary sources using pseudo-correlation matrices in the frequency domain. This approach is an extension of a new method based on spectral decorrelation that we recently proposed and which assumes that all the cyclo-stationary sources and the stationary noise signals are mutually uncorrelated...
