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遲延行列을 이용한 時燮 確率시스템의 適應 필터 構成에 관한 硏究
徐輔爀,全舜鏞,全宗鶴 慶北大學校 1991 論文集 Vol.51 No.-
This paper presents a new adaptive filter algorithm for time-varying stochastic systems. Parameters of the objective system are identified using the Kalman kilter, in which the shift matrix method applied to construct a fine adaptive filter. The proposed filter characteristics 'are proved far better than the conventional algorithms, in which the LSQ approach is commonly used. Casestudy on sample model systems proves the usefulness and advantages of the proposed algorithm.