Blind Source Separation in Nonlinear Mixtures: Separability and a Basic Algorithm.

IEEE Transactions on Signal Processing(2017)

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摘要
In this paper, a novel approach for performing blind source separation (BSS) in nonlinear mixtures is proposed, and their separability is studied. It is shown that this problem can be solved under a few assumptions, which are satisfied in most practical applications. The main idea can be considered as transforming a time-invariant nonlinear BSS problem to local linear ones varying along the time, ...
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关键词
Signal processing algorithms,Random variables,Blind source separation,Jacobian matrices,Random processes,Stochastic processes
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