Research and Analysis of Wiener Filtering Algorithm
Signals are often affected by noise interference during transmission.Among the estimation algorithms used to extract the original signal,Wiener filtering is the most classic and simple one.This estimation algorithm can effectively filter out noise and extract complete useful signals.The algorithm involves a wide range of fields.The ar-ticle uses MATLAB simulation software to analyze the main parameters that affect the Wiener filtering effect.By changing the relevant parameters in the algorithm,it analyzes how the parameters affect the Wiener filtering effect.The simulation conclusion is that increasing the length N of the system pulse response h(n)or the length value L of the Wiener filter data will improve the final filtering effect.This provides the most fundamental theoretical gui-dance for the analysis of Wiener filtering in non-stationary stochastic processes.
Wiener filteringestimation algorithmnon-stationary stochastic process
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