Underdetermined blind separation of non-sparse sources using spatial time-frequency distributions

Authors:
Dezhong Peng;Yong Xiang
Affiliations:
School of Engineering, Deakin University, Waurn Ponds Campus, Geelong, VIC 3217, Australia and School of Applied Mathematics, University of Electronic Science and Technology of China, Chengdu 6100 ...;School of Engineering, Deakin University, Waurn Ponds Campus, Geelong, VIC 3217, Australia
Venue:
Digital Signal Processing
Year:
2010

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Abstract

Recently, a number of underdetermined blind source separation (UBSS) approaches have been proposed to separate n source signals from m (m=3) instantaneous linear mixtures. Theoretical analysis and simulation results show the effectiveness of the proposed algorithm.