23 search results - page 1 / 5 » On Separation of Signal Sources Using Kernel Estimates of Pr... |
ICA
2007
Springer
13 years 11 months ago
2007
Springer
The discussion in this paper revolves around the notion of separation problems. The latter can be thought of as a unifying concept which includes a variety of important problems in...
ICA
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. Mutual information (MI) is a common criterion in independent component analysis (ICA) optimization. MI is derived from probability density functions (PDF). There are scen...
ISCAS
2005
IEEE
13 years 10 months ago
2005
IEEE
— In the context of Independent Component Analysis (ICA), we propose a simple method for online estimation of activation functions in order to blindly separate instantaneous mixt...
ICANN
2010
Springer
13 years 6 months ago
2010
Springer
In this work, a novel probability distribution is proposed to model sparse directional data. The Directional Laplacian Distribution (DLD) is a hybrid between the linear Laplacian d...
IJON
2006
13 years 5 months ago
2006
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...