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ICA
2012
Springer
12 years 3 months ago
2012
Springer
Independent component analysis (ICA) is possibly the most widespread approach to solve the blind source separation (BSS) problem. Many different algorithms have been proposed, tog...
ICASSP
2009
IEEE
14 years 2 months ago
2009
IEEE
Independent component analysis (ICA) is not only popular for blind source separation but also for unsupervised learning when the observations can be decomposed into some independe...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
We propose an unsupervised inference procedure for audio source separation. Components in nonnegative matrix factorization (NMF) are grouped automatically in audio sources via a p...
IJCNN
2007
IEEE
14 years 1 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...
IJCSS
2006
13 years 7 months ago
2006
Decomposition of electromyogram (EMG) provides a valuable means of obtaining motor unit recruitment and firing rate information. The feasibility of decomposing surface EMG signals...