129 search results - page 23 / 26 » Blind Separation of Instantaneous Mixtures of Dependent Sour... |
INTERSPEECH
2010
13 years 2 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 ...
ICA
2007
Springer
13 years 11 months ago
2007
Springer
Non-negative spectrogram factorization has been proposed for single-channel source separation tasks. These methods operate on the magnitude or power spectrogram of the input mixtur...
IJON
2008
13 years 7 months ago
2008
Real-world data sets such as recordings from functional magnetic resonance imaging often possess both spatial and temporal structure. Here, we propose an algorithm including such ...
ICA
2010
Springer
13 years 6 months ago
2010
Springer
Abstract. The recovery of the mixture of an N-dimensional signal generated by N independent processes is a well studied problem (see e.g. [1,10]) and robust algorithms that solve t...
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...