Recursive least squares-like algorithms for the adaptive second-order lattice notch filter

Junli Liang, Bangjie Ji, Junying Zhang, Shijun Wang, Feng Zhao

科研成果: 期刊稿件文章同行评审

11 引用 (Scopus)

摘要

Two new adaptive second-order infinite impulse response (IIR) notch filters with fast convergence rate, accurate estimation of notch frequency, and modest realization complexity are proposed in this paper. It is proven that the optimum filter coefficient can be determined by using the minimum output energy (MOE) criterion. Based on it, a simplified equivalent adaptive system is derived, and two recursive least squares (RLS)-like algorithms are presented to adaptively estimate the filter coefficient. Extensive simulations show the effectiveness and robustness of the new adaptive IIR notch filters.

源语言英语
页(从-至)291-306
页数16
期刊Digital Signal Processing: A Review Journal
18
3
DOI
出版状态已出版 - 5月 2008

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