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ISCAS
2005
IEEE
142views Hardware» more  ISCAS 2005»
13 years 10 months ago
A class of novel blind source extraction algorithms based on a linear predictor
A rigorous analysis of the performance of a blind source extraction structure based on a linear predictor is provided. It is shown that by minimising the mean square prediction er...
Wei Liu, Danilo P. Mandic, Andrzej Cichocki
ICA
2007
Springer
13 years 11 months ago
Linear Prediction Based Blind Source Extraction Algorithms in Practical Applications
Blind source extraction (BSE) is of advantages over blind source separation (BSS) when obtaining some underlying source signals from high dimensional observed signals. Among a vari...
Zhi-Lin Zhang, Liqing Zhang
ICASSP
2011
IEEE
12 years 8 months ago
Blind extraction of improper quaternion sources
Blind extraction of quaternion-valued latent sources is addressed based on their local temporal properties. The extraction criterion is based on the minimum mean square widely lin...
Soroush Javidi, Clive Cheong Took, Cyrus Jahanchah...
IWANN
2001
Springer
13 years 9 months ago
The Minimum Entropy and Cumulants Based Contrast Functions for Blind Source Extraction
Abstract. In this paper we address the problem of blind source extraction of a subset of “interesting” independent sources from a linear convolutive or instantaneous mixture. T...
Sergio Cruces, Andrzej Cichocki, Shun-ichi Amari
IJON
2006
131views more  IJON 2006»
13 years 4 months ago
Optimizing blind source separation with guided genetic algorithms
This paper proposes a novel method for blindly separating unobservable independent component (IC) signals based on the use of a genetic algorithm. It is intended for its applicati...
J. M. Górriz, Carlos García Puntonet...