Implementation of Adaptive Filter Simulation Based on LMS Algorithm
Jingchang Nan
Abstract
Jingchang Nan
Abstract
In order to achieve the optimum filtering effect,it makes the adaptive filter adjust its units impulse response characteristics automatically on the working environment changed.This paper presents a kind of adaptive algorithm: Least Mean Square(LMS algorithm).As the algorithm is realized simply and has stability with respect to the change of signal statistical characteristics,LMS algorithm is used widely.According to disadvantages of adaptive filter to realize LMS using hardware adaptive filter is simulated which is based on LMS algorithm with Matlab.Results of simulation show that this kind of adaptive filter not only can filter the signal noise,but also recognize the system.
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In order to achieve the optimum filtering effect,it makes the adaptive filter adjust its units impulse response characteristics automatically on the working environment changed.This paper presents a kind of adaptive algorithm: Least Mean Square(LMS algorithm).As the algorithm is realized simply and has stability with respect to the change of signal statistical characteristics,LMS algorithm is used widely.According to disadvantages of adaptive filter to realize LMS using hardware adaptive filter is simulated which is based on LMS algorithm with Matlab.Results of simulation show that this kind of adaptive filter not only can filter the signal noise,but also recognize the system.
Key concepts: Adaptive filter, Least mean squares filter, Multidelay block frequency domain adaptive filter, Kernel adaptive filter, Computer science, Filter (signal processing), Filter design, Algorithm