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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 ...
Orthogonalization of Circular Sequences and its Application to the Gabor Decomposition
Orthogonalization Circular Sequences Application Gabor Decomposition
2010/1/7
Certain vector sequences in Hermitian or in Hilbert spaces, can be orthogonalized by a Fourier transf‘orm. In the Anite-dimensional case, the discrete Fourier transform OFT)
accomplishes the orthogon...
Distributed Decomposition-based Approaches in Global Optimization
Global optimization bilinear programming blending pooling indefinite quadratic optimization
2009/12/24
Distributed Decomposition-based Approaches in Global Optimization.
Reference signal extraction from corrupted ECG using wavelet decomposition for MRI sequence triggering: application to small animals
corrupted ECG wavelet decomposition small animals
2010/2/26
The efficiency of the presented method has been tested on a group of quite representative signals containing: highly contaminated (mean SNR<-5 dB) simulated ECGs that replicate normal and pathological...