基于nlms的回声消除算法研究

E. Abdel-Raheem
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引用次数: 0

摘要

本文研究了适用于回波抵消应用的计算效率高的自适应算法。在选择性偏系数更新算法(SPCUA)中增加了误差和/或回归向量的2次幂(PO2)量化,以进一步减少计算量。为了在生成的误差值低于某一限度时节省更多的计算,文中还包含了一个简单的走走停停过程。仿真结果表明了改进算法的优越性
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On computationally-efficient NLMS-based algorithms for echo cancellation applications
This paper investigates computationally-efficient adaptive algorithms suitable for echo cancellation applications. Power-of-two (PO2) quantization for the error and/or regressor vector is added to a selective-partial-coefficient-update algorithm (SPCUA) to further reduce the amount of computations. A simple stop-and-go procedure is included to save more computations when the generated error magnitude is below a certain limit. Simulation results with comparisons are included to show the advantages of the improved algorithms
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