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考虑一个线性自适应均衡器的原理方框图如《现代数字信号处理导论》p.275自适应均衡器应用示意图。用LMS算法实现这个自适应均衡器，画出一次实验的误差平方的收敛曲线，给出最后设计滤波器系数。一次实验的训练序列长度为500。进行20次独立实验，画出误差平方的收敛曲线。给出3个步长值的比较。-consider a linear adaptive equalizer block diagram as the principle of "modern digital signal process
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用RLS算法实现自适应均衡器，画出一次实验的误差平方的收敛曲线，给出最后设计滤波器系数-RLS algorithm with adaptive equalizer, draw a single experiment squared error convergence curve of the final design of the filter coefficients are given
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自适应均衡器RLS算法的MATLAB代码，初学通信信号处理的有用-RLS algorithm for adaptive equalizer MATLAB code, useful for beginners communications signal processing
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采用RLS算法实现自适应均衡，还有Simulink图，效果较好-Adaptive equalizer using RLS algorithm, as well as Simulink diagram, the effect is good
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Inter-symbol interference if not taken care off may
cause severe error at the receiver and the detection of signal becomes
difficult. An adaptive equalizer employing Recursive Least Squares
algorithm can be a good compensation for the ISI probl
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lms和rls自适应算法的均衡器的设计，包括原理和仿真结果-lms and rls adaptive equalizer algorithm design, including schematics and simulation results
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实现了自适应RLS均衡器的MSE仿真曲线-Adaptive RLS equalizer MSE simulation curve
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图1为均衡带限信号所引起失真的横向或格型自适应均衡器(其中横向FIR系统长M=11), 系统输入是取值为±1的随机序列，其均值为零；参考信号；信道具有脉冲响应：
式中用来控制信道的幅度失真(W = 2～4, 如取W = 2.9,3.1,3.3,3.5等)，且信道受到均值为零、方差(相当于信噪比为30dB)的高斯白噪声的干扰。试比较基于下列几种算法的自适应均衡器在不同信道失真、不同噪声干扰下的收敛情况(对应于每一种情况,在同一坐标下画出其学习曲线):
1）横向/格-梯型结构LMS算法
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将自适应信号处理中的RLS和LMS算法应用到信道均衡中去，用对比图和眼图研究性能。-Adaptive signal processing RLS and LMS algorithm is applied to channel equalization go, with comparison chart and eye research performance.
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