Application of Volterra LMS Adaptive Filter Algorithm Based on Gaussian Distribution
نویسندگان
چکیده
This paper mainly studied the LMS adaptive filter algorithm to the Volterra system model. Through the construction of the second order Volterra system model, the application of respectively selecting the first order and second order variable step length de-correlation Volterra LMS algorithm in gaussian noise environment, when the input signals in different correlation coefficient, the iteration times are not more than 2000 times and all items can realize the convergence, which prove the accuracy of the algorithm paper presented. The Volterra LMS adaptive filter algorithm can be effectively applied into the mechanical vibration damping and noise elimination, which has a broad application prospect.
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