一种新的带窗重叠自适应滤波器
A Novel Overlapping Adaptive Filter with Window
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摘要: 基于一种带窗重叠自适应滤波器,将重叠滤波思想引入LMS算法。利用重叠滤波的平滑性,将加窗重叠滤波和LMS算法相结合,给出了窗加权重叠LMS(WO-LMS)算法。与传统的LMS算法相比,WO-LMS算法既提高了收敛速度又可以得到较低的稳态均方误差。理论分析了算法的收敛性,通过与LMS算法的比较,验证了WO-LMS算法的优越性。Abstract: Based on a novel windowed overlapping adaptive filter, LMS algorithm with overlapping idea is introduced. In terms of the smoothness of signals processed by overlapping, a new Windowed Overlapping LMS algorithm(WO-LMS)is presented that combines the windowed overlapping idea and LMS algorithm. In comparison with traditional LMS algorithm, WO-LMS algorithm can achieve both lower steady mean square error and faster convergence speed. Convergence property is theoretically analyzed, and the experimental results prove the superiority of WO-LMS compared with LMS algorithm.
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