Over Adapted LMS Algorithm with Codified Error

J.V. Lopez, J.C.S. Garcia, H. Meana, M. R. Macías, T.A. Ruiz
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引用次数: 3

Abstract

In this paper a modification to the mean square algorithm (LMS) appears, with the objective to reduce the floating point operations. This reduction allows to obtain a simple implementation of a digital adaptive filter, inside an integrated circuit, because a reduction of the floating point operations is made. The obtained advantages with this modification are the over adaptation of LMS algorithm, in order to increase the speed of convergence or higher frequency signals processing
具有编码误差的超适应LMS算法
本文提出了一种改进的均方算法(LMS),目的是减少浮点运算。由于减少了浮点运算,因此可以在集成电路中简单地实现数字自适应滤波器。这种改进的优点是对LMS算法进行了过度适应,以提高收敛速度或更高频率信号的处理速度
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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