4 search results - page 1 / 1 » Blind separation of non-negative sources by convex analysis:... |
TSP
2008
14 years 9 months ago
2008
This paper presents a new framework for blind source separation (BSS) of non-negative source signals. The proposed framework, referred herein to as convex analysis of mixtures of ...
72
Voted
ICASSP
2008
IEEE
15 years 4 months ago
2008
IEEE
We recently reported a criterion for blind separation of non-negative sources, using a new concept called convex analysis for mixtures of non-negative sources (CAMNS). Under some ...
92
Voted
NIPS
2003
14 years 11 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 ...
71
Voted
NIPS
1997
14 years 11 months ago
1997
Severe contamination of electroencephalographic (EEG) activity by eye movements, blinks, muscle, heart and line noise is a serious problem for EEG interpretation and analysis. Rej...