In light of the recently proposed generalized correlation function named correntropy, which exploits higher-order statistics and the time structure of signals, we have, in this work, two main objectives: 1) to give a new interpretation - founded on the relationships between the constant modulus (CM) and Shalvi-Weinstein criteria and between the latter and methods for ICA based on nongaussianity - to the performance of the constant modulus approach under dependent sources and 2) to analyze the correntropy in the context of blind deconvolution of i.i.d. and dependent sources, as well as to establish elements of a comparison between it and the CMA. The analyses and simulation results unveil some theoretical aspects hitherto unexplored. © Sprin...
Blind space–time equalization of multiuser time-dispersive digital communication channels consists o...
We address the problem of adaptive blind source separation (BSS) from instantaneous multi-input mult...
Another contribution is the proposal of an upper bound for the CM cost function based on the mean fo...
Abstract — The blind deconvolution of signals composed of statistically dependent samples is an impo...
Abstract – In the context of temporally correlated sources, blind deconvolution can be performed usi...
We address the problem of blind recovery of multiple sources from their linear convolutive mixture w...
Abstract—With an abundance of tools based on kernel methods and information theoretic learning, a vo...
The paper is devoted to present an analysis of the impact of higher order statistics (HOS) in adapti...
In this work, we study the criteria used to solve the blind equalization problem. Two approaches are...
Abstract—The optimality of second-order statistics depends heavily on the assumption of Gaussianity....
This article studies a general theory of estimating functions of inde-pendent component analysis whe...
In many (audio) processing algorithms, involving manipulation of discrete-time signals, the performa...
Abstract—A critical analysis of the canonical correlation analysis (CCA) approach in blind source se...
The use of uniformly distributed auxiliary random noise in the polarity-coincidence correlator has b...
This thesis presents two novel algorithms for blind chancel equalization (BCE) and blind source sepa...
Blind space–time equalization of multiuser time-dispersive digital communication channels consists o...
We address the problem of adaptive blind source separation (BSS) from instantaneous multi-input mult...
Another contribution is the proposal of an upper bound for the CM cost function based on the mean fo...
Abstract — The blind deconvolution of signals composed of statistically dependent samples is an impo...
Abstract – In the context of temporally correlated sources, blind deconvolution can be performed usi...
We address the problem of blind recovery of multiple sources from their linear convolutive mixture w...
Abstract—With an abundance of tools based on kernel methods and information theoretic learning, a vo...
The paper is devoted to present an analysis of the impact of higher order statistics (HOS) in adapti...
In this work, we study the criteria used to solve the blind equalization problem. Two approaches are...
Abstract—The optimality of second-order statistics depends heavily on the assumption of Gaussianity....
This article studies a general theory of estimating functions of inde-pendent component analysis whe...
In many (audio) processing algorithms, involving manipulation of discrete-time signals, the performa...
Abstract—A critical analysis of the canonical correlation analysis (CCA) approach in blind source se...
The use of uniformly distributed auxiliary random noise in the polarity-coincidence correlator has b...
This thesis presents two novel algorithms for blind chancel equalization (BCE) and blind source sepa...
Blind space–time equalization of multiuser time-dispersive digital communication channels consists o...
We address the problem of adaptive blind source separation (BSS) from instantaneous multi-input mult...
Another contribution is the proposal of an upper bound for the CM cost function based on the mean fo...