Advances in Modern Blind Signal Separation Algorithms (Synthesis Lectures on Algorithms and Software in Engineering)

丛 书 名：Synthesis Lectures on Algorithms and Software in Engineering, #6

作     者：Kostas Kokkinakis Philipos C. Loizou 

I S B N：(纸本) 9781608451067 

出 版 社：Morgan and Claypool Publishers 

出 版 年：2010年

主 题 词：synthesis lectures algorithms separation modern blind signal advances 

学科分类：0711[理学-系统科学] 07[理学] 0809[工学-电子科学与技术（可授工学、理学学位）] 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] 

摘      要：With human-computer interactions and hands-free communications becoming overwhelmingly important in the new millennium, recent research efforts have been increasingly focusing on state-of-the-art multi-microphone signal processing solutions to improve speech intelligibility in adverse environments. One such prominent statistical signal processing technique is blind signal separation (BSS). This booklet investigates one of the most commercially attractive applications of BSS, which is the simultaneous recovery of signals inside a reverberant (naturally echoing) environment, using two (or more) microphones. In this paradigm, each microphone captures not only the direct contributions from each source, but also several reflected copies of the original signals at different propagation delays. These recordings are referred to as the convolutive mixtures of the original sources. The goal of this booklet in the lecture series is to provide insight on recent advances in algorithms, which are ideally suited for blind signal separation of convolutive speech mixtures. More importantly, specific emphasis is given in practical applications of the developed BSS algorithms associated with real-life scenarios.