基于子带分解的自适应滤波

Adaptive Filtering Based On Subband Decomposition

本文对基于子带分解的自适应滤波做了研究，给出了子带分解下包含子带间滤波的最优维纳解和ＬＭＳ算法，并分析了其收敛性能和计算复杂度。与传统的ＬＭＳ算法相比，基于子带分解的自适应滤波具有更好的性能。计算机模拟结果也体现了这一点。

In this paper,adaptive filtering based on subband decomposition is investigated.Containing filtering between the subbands,the Wiener optimal solution and LMS algorithm based on subband decmposition are presented.Then the convergent performance and the computational complexity are analyzed.Computer simulation results demostrate that this filtering technique has better performance than traditional LMS algorithm.