Low-complexity single-channel blind source separation

作     者：Zhang Xing Hu Jianhao 

作者机构：National Key Laboratory of Science and Technology on CommunicationsUniversity of Electronic Science and Technology of China 

出 版 物：《The Journal of China Universities of Posts and Telecommunications》 (中国邮电高校学报（英文版）)

年 卷 期：2017年第24卷第3期

页      面：7-15页

核心收录：

学科分类：0711[理学-系统科学] 07[理学] 08[工学] 080401[工学-精密仪器及机械] 0804[工学-仪器科学与技术] 080402[工学-测试计量技术及仪器] 

基　　金：supported by the National Natural Science Foundation of China (61501084) 

主　　题：single-channel separation Gibbs sampling QRD-M 

摘      要：For the time-frequency overlapped signals, a low-complexity single-channel blind source separation （SBSS） algorithm is proposed in this paper. The algorithm does not only introduce the Gibbs sampling theory to separate the mixed signals, but also adopts the orthogonal triangle decomposition-M （QRD-M） to reduce the computational complexity. According to analysis and simulation results, we demonstrate that the separation performance of the proposed algorithm is similar to that of the per-survivor processing （PSP） algorithm, while its computational complexity is sharply reduced.