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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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Adaptive equalization via kalman filtering techniques. Optimal bounding ellipsoid algorithms, LMS and RLS and kalman filter
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Adaptive Echo Canceller Using a Modified LMS Algorithm
Abstract –– In this paper, an echo canceller is presented, using an adaptive filter with a modified LMS (Least Mean Square) algorithm, where this modification is achieved coding error on con
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LMS自适应滤波器的仿真与实现，较详细地介绍了其实现方式及过程-LMS adaptive filter simulation and implementation of a more detailed descr iption of the process of its implementation, and
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自适应滤波器的仿真程序， lms算法实现-Adaptive filter simulation program, lms algorithm
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THIS FILE IS ABOUT ADAPTIVE FILTER
ITS HELPFUL FOR LEARNING ABOUT LMS/NLMS
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RLS_LMS code the Least Mean Squares (LMS) and the Recursive Least. Squares (RLS) algorithms realize the design and simulation of adaptive algorithms in noise canceling, and ... of two algorithms .The adaptive filter with MATLAB are simulated and the
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