基于先验估计误差的低动态RLSL自适应算法

2006 International Multi-Conference on Computing in the Global Information Technology - (ICCGI'06) Pub Date : 2006-08-01 DOI:10.1109/ICCGI.2006.84

C. Paleologu, S. Ciochină, A. Enescu

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引用次数: 1

摘要

本文提出了一种基于先验估计误差的递推最小二乘格自适应算法。该算法从代价函数的改进形式出发，基于均方误差的渐近无偏估计，实现了参数动态范围的缩小。这一改进可以为定点实现提供便利

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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Low Dynamics RLSL Adaptive Algorithm Using A Priori Estimation Errors

This paper proposes a version of RLSL (recursive least-squares lattice) adaptive algorithm using a priori estimation errors. Starting from a modified form of the cost function, based on an asymptotically unbiased estimator of the mean-square error, this algorithm achieves a reduced dynamic range of parameters. This improvement could lead to facility for fixed-point implementation

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2006 International Multi-Conference on Computing in the Global Information Technology - (ICCGI'06)

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