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This scr ipt runs a simulation loop for either a linear or a DFE equalizer. It
uses the RLS algorithm to initially set the weights, then uses LMS thereafter to minimize execution time. It plots the equalized signal spectrum, then generates and plot
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均衡技术是克服码间干扰(Inter-Symbol Interference,ISI)的有效措施,由于信道特性的随机性与时变性,实际中消除码间干扰最常用的是自适应均衡器。本文对基于最小均方(Least Mean Squares,LMS)算法和递推最小二乘(Recursive Least Squares,RLS)算法的自适应均衡器进行仿真研究,分析了信道特性与设计参数对自适应均衡器的收敛速度与稳态性能的影响。
-Equalization technique is to overcome inte
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关于LMS和RLS算法的详细的原理，性能比较以及程序，附程序说明-The principle of the LMS and RLS algorithms, performance comparison and procedures, with a descr iption of the procedures
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基于RLS算法，NLMS和LMS的自适应滤波器的MATLAB程序-LMS and RLS algorithm performance comparisons, including the right value compared with the
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RLS和LMS对比分析和研究，比较了它们的性能和优缺点，调试成功，可以使用-RLS and LMS comparative analysis and research to compare their performance advantages and disadvantages, debugging, you can use
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对基于LMS(最小均方)、NLMS（归一化最小均方）、RLS（递归最小二乘）算法的自适应噪声抵消系统进行MATLAB仿真，发现这几种算法都能从高背景噪声中有效地抑制干扰提取出有用信号，显示出了良好的的收敛性能，相比之下RLS算法去噪效果较好，呈现出更快的收敛速度，更强的稳定性和抑噪能力(the principle of LMS (minimum mean square), NLMS (normalized least mean square), RLS (recursive least squa
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