적응 수렴인자를 갖는 이차원 RLMS에 관한 연구

A STUDY OF 2-D RECURSIVE LMS WITH ADAPTIVE CONVERGENCE FACTOR

  • 정영식 (인천대학교 전기공학과)
  • 발행 : 1995.07.20

초록

The convergence of adaptive algorithm depends mainly on the proper choice of the design factor called the covergence factor. In the paper, an optimal convergence factor involved in TRLMS algorithm, which is used to predict the coefficients of the ARMA predictor in ADPCM is presented. It is shown that such an optimal value can be generated by system signals such that the adaptive filter becomes self optimizing in terms of the convergence factor. This algorithm is applied to real image.

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