32 search results - page 2 / 7 » Sparse Representation and Its Applications in Blind Source S... |
ICONIP
2007
13 years 6 months ago
2007
In the paper, we present a new approach to multi-way Blind Source Separation (BSS) and corresponding 3D tensor factorization that has many potential applications in neuroscience an...
ICA
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. Separation of underdetermined mixtures is an important problem in signal processing that has attracted a great deal of attention over the years. Prior knowledge is requir...
ICA
2010
Springer
13 years 5 months ago
2010
Springer
Abstract. In this paper, we propose a method for blind source separation (BSS) of convolutive audio recordings with short blocks of stationary sources, i.e. dynamically changing so...
INTERSPEECH
2010
12 years 11 months ago
2010
Sparse Component Analysis is a relatively young technique that relies upon a representation of signal occupying only a small part of a larger space. Mixtures of sparse components ...
IJON
2002
13 years 4 months ago
2002
It was discovered recently that sparse decomposition by signal dictionaries results in dramatic improvement of the qualities of blind source separation. We exploit sparse decompos...