12 search results - page 2 / 3 » Nonlinear Blind Source Separation by Integrating Independent... |
ICA
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. We present an approach for blindly decomposing an observed random vector x into f(As) where f is a diagonal function i.e. f = f1 × . . . × fm with one-dimensional funct...
ISCAS
2002
IEEE
13 years 9 months ago
2002
IEEE
A blind source separation algorithm is used to estimate the mixing operator from electromagnetic emission signals through independent component analysis (ICA) technique. The mixin...
DSP
2007
13 years 4 months ago
2007
Blind separation of sources from nonlinear mixtures is a challenging and often ill-posed problem. We present three methods for solving this problem: an improved nonlinear factor a...
IJCNN
2007
IEEE
13 years 10 months ago
2007
IEEE
—In this paper, a new model that can ultimately create its own set of perceptual features is proposed. Using a bidirectional associative memory (BAM)-inspired architecture, the r...
IJON
2007
13 years 4 months ago
2007
Experimental and computational studies suggest that complex motor behavior is based on simpler spatiotemporal primitives, or synergies. This has been demonstrated by application o...