9 search results - page 1 / 2 » Blind source separation using monochannel overcomplete dicti... |
ICASSP
2008
IEEE
14 years 1 months ago
2008
IEEE
We propose a new approach to underdetermined Blind Source Separation (BSS) using sparse decomposition over monochannel dictionary atoms and compare it to multichannel dictionary a...
IJON
2002
13 years 6 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...
CSDA
2007
13 years 6 months ago
2007
In blind source separation, there are M sources that produce sounds independently and continuously over time. These sounds are then recorded by m receivers. The sound recorded by ...
NIPS
2003
13 years 8 months ago
2003
In this paper, sparse representation (factorization) of a data matrix is first discussed. An overcomplete basis matrix is estimated by using the K−means method. We have proved ...
ICA
2007
Springer
14 years 1 months ago
2007
Springer
This paper describes a new blind source separation method for instantaneous linear mixtures. This new method coined GMCA (Generalized Morphological Component Analysis) relies on mo...