Title: Single Source Intervals in Frequency Domain and Underdetermined Blind Signal Separation
Abstract:This paper discusses the underdetermined blind separation problem when the sensors is less than sources.Matrix Recovery in Single Source Intervals(MRISSI) algorithm in the frequency domain is proposed...This paper discusses the underdetermined blind separation problem when the sensors is less than sources.Matrix Recovery in Single Source Intervals(MRISSI) algorithm in the frequency domain is proposed.It is an extension of Searching-and-Averaging Method in Time Domain(SAMTD).Compared with the traditional clustering algorithms,its computational complexity is low and it has the precisely estimated matrix.In theory,it can estimate the mixing matrix without any error.In the sources recovery,a simplified method to resolve the L1-norm is obtained in term of the sparse principle assumes the only m sources is large or nonzero and the remained sources is smaller or zeros.Several sound sources experiments demonstrate its performance and practicality.Read More
Publication Year: 2009
Publication Date: 2009-01-01
Language: en
Type: article
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