ON CORRELATION MATCHING APPROACH TO BLIND SEPARATION OF NONSTATIONARY SOURCES

  • Choi, Seung-Jin (Department of Electrical Engineering, Chungbuk National University) ;
  • Hong, Heon-Seok (Department of Electrical Engineering, Chungbuk National University) ;
  • Oh, Jun-Whan (Department of Electrical Engineering, Chungbuk National University)
  • Published : 2000.07.01

Abstract

This paper addresses a new method of blind source separation (BSS) when sources are nonstationary signals. Our method requires only multiple correlation matrices of the observed data at several time-windowed data frames to estimate the mixing matrix. In contrast to most existing BSS methods where higher-order statistics is necessary, our method is based on only second-order statistics. In the framework of correlation matching, we develop a new BSS algorithm. The useful behavior of the proposed method is verified by numerical experiments.

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