양방향 Filtered-x 최소 평균 제곱 알고리듬에 대한 해석 = Analysis of Bi-directional Filtered-x Least Mean Square Algorithm

다국어 초록 (Multilingual Abstract)

The least mean square(LMS) algorithm has been popular owing to its simplicity, stability, and availability to implement. But it inherently has a problem of slow convergence speed, and the presence of a transfer function in the secondary path following the adaptive controller and the error path has been shown to generally degrade the stability and the performance of the LMS algorithm in applications of acoustical noise control. In general, in order to solve these problems, the filtered-x LMS (FX-LMS) type algorithms can be used and the bi-directional Filtered-x LMS(BFXLMS) algorithm is very attractive among them, which increase the convergence speed and the performance of the controller with nearly equivalent computation complexity.
In this paper, a mathematical analysis for the BFXLMS algorithm is presented. In terms of view points of time domain, frequency domain, and stochastic domain, the characteristics and stabilities of algorithm is accurately analyzed.

참고문헌 (Reference)

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2 권오상, "양방향 Filtered-x 최소 평균 제곱 알고리듬에 대한 실험적인 연구" (사)디지털산업정보학회 10 (10): 197-205, 2014

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