9 search results - page 2 / 2 » Blind source separation using monochannel overcomplete dicti... |
ICA
2004
Springer
14 years 1 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...
TASLP
2010
13 years 2 months ago
2010
Abstract--Independent vector analysis (IVA) is a method for separating convolutedly mixed signals that significantly reduces the occurrence of the well-known permutation problem in...
ICIP
2009
IEEE
14 years 8 months ago
2009
IEEE
Recently morphological diversity and sparsity have emerged as new and effective sources of diversity for Blind Source Separation. Based on these new concepts, novel methods such a...
ICA
2007
Springer
14 years 1 months ago
2007
Springer
In underdetermined blind source separation problems, it is common practice to exploit the underlying sparsity of the sources for demixing. In this work, we propose two sparse decom...