Research On The New Approach To MIMO Blind Source Separation In Frequency Domain

Blind signal processing is a fundamental signal processing technology aimed at retrieving a system's unknown information from its output only. MIMO blind source separation may consist of recovering unobserved sources from several observed signals without prior knowledge of sources or the channel. The blind source separation issue arises in many fields such as noise reduction, radar and sonar processing and speech enhancement.In this paper, the approaches to MIMO blind source separation are systemically studied. The contributions of this paper are followed:1 IntroductionIntroduce the concept "Blind" and present MEMO blind source separation model.2 Research on the instantaneous mixture systemReview the techniques developed for the demixing of the instantaneous mixture case.3 Research on the linear convolutive systemModel the linear convolutive system and review the deconvolution approaches in time domain.4 Introduce a new method to MIMO BSSA new approach to MIMO blind source separation in frequency domain is introduced, experimental tests are conducted,and results are satisfied.