Application of IIR Digital Filter with A New LMS Adaptive Algorithm

Any system will be inevitably disturbed by noise. The existence of noise affects the processing and application of real signals. How to effectively suppress and eliminate noise has always been a hot spot in the industrial field. In order to design a filter which can properly adjust its parameters ac...

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Published inIOP conference series. Materials Science and Engineering Vol. 677; no. 5; pp. 52003 - 52009
Main Authors Shao, Lanchun, He, Wei
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 01.12.2019
Subjects
Adaptive algorithms
Algorithms
Design
Digital filters
Domains
IIR filters
Signal processing
Time-frequency analysis
Wavelet transforms
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ISSN1757-8981
1757-899X
1757-899X
DOI10.1088/1757-899X/677/5/052003

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Abstract Any system will be inevitably disturbed by noise. The existence of noise affects the processing and application of real signals. How to effectively suppress and eliminate noise has always been a hot spot in the industrial field. In order to design a filter which can properly adjust its parameters according to different environments to obtain the optimal value, this paper designs an adaptive IIR digital filter, and studies as well as improves the adaptive algorithm. A new variable step size LMS algorithm based on multi-scale wavelet transform is proposed in this paper. The wavelet transform domain algorithm belongs to LMS transform domain algorithm and is a new time-frequency analysis method developed, so it has the characteristics of multi-resolution analysis. This adaptive IIR filter designed is applied to suppression and cancellation of noise, and simulation experiments are performed on the MATLAB software platform, so that better illustrating the superiority of this improved algorithm.
AbstractList Any system will be inevitably disturbed by noise. The existence of noise affects the processing and application of real signals. How to effectively suppress and eliminate noise has always been a hot spot in the industrial field. In order to design a filter which can properly adjust its parameters according to different environments to obtain the optimal value, this paper designs an adaptive IIR digital filter, and studies as well as improves the adaptive algorithm. A new variable step size LMS algorithm based on multi-scale wavelet transform is proposed in this paper. The wavelet transform domain algorithm belongs to LMS transform domain algorithm and is a new time-frequency analysis method developed, so it has the characteristics of multi-resolution analysis. This adaptive IIR filter designed is applied to suppression and cancellation of noise, and simulation experiments are performed on the MATLAB software platform, so that better illustrating the superiority of this improved algorithm.
Author He, Wei
Shao, Lanchun
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10.1109/78.143435
10.1109/9.763215
10.1109/78.912925
10.1109/78.558478
10.1109/TASSP.1986.1164814
10.1109/82.826747
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SubjectTerms Adaptive algorithms
Algorithms
Design
Digital filters
Domains
IIR filters
Signal processing
Time-frequency analysis
Wavelet transforms
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