Recovery of Independent Sparse Sources From Linear Mixtures Using Sparse Bayesian Learning.

IEEE Transactions on Signal Processing(2018)

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摘要
Classical algorithms for the multiple measurement vector (MMV) problem assume either independent columns for the solution matrix or certain models of correlation among the columns. The correlation structure in the previous MMV formulation does not capture the signals well for some applications like photoplethysmography (PPG) signal extraction where the signals are independent and linearly mixed in...
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关键词
Bayes methods,Signal processing algorithms,Sparse matrices,Cost function,Matching pursuit algorithms,Independent component analysis,Biomedical measurement
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