Convergence Analysis of Adaptive Filters Using Normalized Sign-Sign Algorithm(Digital Signal Processing)

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概要

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• This letter develops convergence analysis of normalized sign-sign algorithm (NSSA) for FIR-type adaptive filters, based on an assumption that filter tap weights are Gaussian distributed. We derive a set of difference equations for theoretically calculating transient behavior of filter convergence, when the filter input is a White & Gaussian process. For a colored Gaussian input and a large number of tap weights, approximate difference equations are also proposed. Experiment with simulations and theoretical calculations of filter convergence demonstrates good agreement between simulations and theory, proving the validity of the analysis.

• 一般社団法人電子情報通信学会の論文
• 2005-11-01

著者

• Koike Shin'ichi

  Consultant

関連論文

• Convergence Analysis of Adaptive Filters Using Normalized Sign-Sign Algorithm(Digital Signal Processing)

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