A blind source separation algorithm based on the dynamic similarity of signals
Jimin Ye,
Xudan Fu
Abstract:Blind source separation (BSS) refers to obtain source signals by means of their linear commixture with unknown mixing channel. Existing BSS methods mainly rely on the basic hypothesis that the source signal is non-Gaussian, which leads to its inability to separate the mixed Gaussian signals, and severely limits the application of BSS. In order to solve the above problem and the shortcomings that cosine similarity will encounter in the measurement of dynamic similarity of signals, this paper utilizes the genera… Show more
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