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A Mixing Matrix Estimation Algorithm for Underdetermined Blind Source Separation

open access: closedCircuits, Systems, and Signal Processing, 2015
This paper considers mixing matrix estimation for underdetermined blind source separation. First, we propose an effective detection algorithm to identify single source points where only one source occurs. The detection algorithm finds single source points by utilizing the time---frequency coefficients of mixed signals and the complex conjugates of the ...
Yibing Li, Wei Nie, Fang Ye, Yun Lin
exaly   +4 more sources

A Complex-Valued Mixing Matrix Estimation Algorithm for Underdetermined Blind Source Separation

open access: closedCircuits, Systems, and Signal Processing, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Qiang Guo, Guoqing Ruan, Liangang Qi
exaly   +5 more sources

An algorithm for underdetermined mixing matrix estimation

Neurocomputing, 2013
This paper considers the problem of mixing matrix estimation in underdetermined blind source separation (UBSS). We propose a simple and effective detection algorithm which detects the time-frequency (TF) points occupied by only a single source for each source.
Tianbao Dong, Yingke Lei, Jingshu Yang
openaire   +3 more sources

Compressive Blind Mixing Matrix Estimation of Audio Signals

IEEE Transactions on Instrumentation and Measurement, 2014
Compressive sensing (CS) shows that, when a signal is sparse or compressible with respect to some basis, a small number of compressive measurements of the original signal can be sufficient for exact (or approximate) recovery. Distributed CS (DCS) takes advantage of both intra- and intersignal correlation structures to reduce the number of measurements ...
Hongwei Xu   +4 more
openaire   +3 more sources

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