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Extraction of a Source from Multichannel Data Using Sparse Decomposition
ICA Blind source separation Sparse representation Wavelets EEG MEG
2010/1/7
It was discovered recently that sparse decomposition by signal dictionaries results in dramatic improvement of the qualities of blind source separation. We exploit sparse decomposition of a source in ...
Extraction of a Source from Multichannel Data Using Sparse Decomposition
ICA Blind source separation Sparse representation Wavelets EEG MEG
2010/1/7
It was discovered recently that sparse decomposition by signal dictionaries results in dramatic improvement of the qualities of blind source separation. We exploit sparse decomposition of a source in ...
A Monte-Carlo-Based Network Method for Source Positioning in Bioluminescence Tomography
Monte-Carlo-Based Network Bioluminescence Tomography
2009/9/7
We present an approach based on the improved Levenberg Marquardt (LM) algorithm of backpropagation (BP) neural network to estimate the light source position in bioluminescent imaging. For solving the ...