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LMS自适应算法自适应预测的计算机实验matlab仿真例子-LMS adaptive prediction algorithm for the adaptive computer simulation experiments Matlab example
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应用LMS算法，用Matlab编程实现线性预测.-Application of LMS algorithm, using Matlab Programming Linear Prediction.
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采用一种快速收敛变步长LMS（Least mean square ） 自适应最小均方算法matlab源程序，其中算法所做的工作是用FIR 滤波器的预测系统，对IIR系统进行预测，如果阶数越高越能逼近被预测系统。-Using a fast convergence of variable step size LMS (Least mean square) adaptive least mean square algorithm matlab source, one of algorithm is t
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lms渐进预测算法，非常好用 -lms progressive prediction algorithm, incremental prediction algorithm is very easy to use lms, very easy to use
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kalman滤波和LMS滤波MATLAB仿真和预测结果分析-kalman filter and the LMS filter MATLAB simulation and prediction results
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LMS自适应算法自适应预测的计算机实验matlab仿真例子,-LMS adaptive algorithm of adaptive prediction computer experiment matlab simulation example,
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LMS自适应算法自适应预测的计算机实验matlab仿真例子,(LMS adaptive algorithm of adaptive prediction computer experiment matlab simulation example,)
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MATLAB codes for adaptive filtering using least mean square, nominal LMS and Wiener filter using forward linear prediction and backward linear prediction.
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预测信号由二阶AR模型产生，为二阶线性预测滤波器，LMS算法与RLS算法性能对比(The predicted signal is generated by the two order AR model, and is the two order linear prediction filter,performance comparison between LMS algorithm and RLS algorithm)
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