基于Matlab和Verilog的自适应算法比较研究

2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET) Pub Date : 2018-03-01 DOI:10.1109/WISPNET.2018.8538654

A. Parvathy, Gayathri Narayanan

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引用次数: 4

摘要

数字信号处理(DSP)应用利用自适应算法在无线通信系统中进行降噪。自适应滤波器在实现自适应算法的思想中起着重要作用。本文讨论了不同的自适应算法，包括LMS、NLMS和RLS算法，并在Matlab和Verilog结果的基础上对三种算法进行了比较。仿真结果表明，RLS算法比LMS和NLMS算法具有更快的收敛速度。

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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Comparative Study of Adaptive Algorithms Using Matlab and Verilog

Digital Signal Processing (DSP) applications make use of adaptive algorithms for noise reduction in wireless communication systems. Adaptive filters play an important role to accomplish the idea of adaptive algorithms. This paper discusses different adaptive algorithms including LMS, NLMS and RLS algorithms and comparing the three on the basis of Matlab and Verilog results. The simulation results shows that RLS has faster convergence rate than LMS and NLMS algorithms.

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2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)

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