The Research Of Blind Source Separation Algorithm Based On Independent Component Analysis

Blind source separation (BSS) is a means aimed at retrieving and extracting unknown sources from the observed signals which are independent with each other. As a new technique of digital signal processing (DSP) , BSS becomes more and more important while used in widely many fields such as communication, procession of radar signals, image procession of biological medicine, pattern recognition and so on. BSS has shown great promising ability. In recent years, BSS has been received considerable attention from the signal processing community and the neural network community.The major contribution of this paper is summarized as follow: 1. This paper analyzes systematically the research tendency of BSS algorithms, expatiates on the foundational principles of BSS and discusses three mathematical models of BSS and the typical performance indexes evaluating the effect of its algorithms.