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Evaluation of noise filter characteristics by discrete wavelet transformation
Author(s) -
Midorikawa Yoichi,
Hayano Seiji,
Saito Yoshifuru
Publication year - 1997
Publication title -
electrical engineering in japan
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.136
H-Index - 28
eISSN - 1520-6416
pISSN - 0424-7760
DOI - 10.1002/(sici)1520-6416(199708)120:3<1::aid-eej1>3.0.co;2-c
Subject(s) - wavelet , noise (video) , frequency domain , filter (signal processing) , computer science , fourier analysis , discrete wavelet transform , fourier transform , second generation wavelet transform , transformation (genetics) , algorithm , acoustics , electronic engineering , wavelet transform , mathematics , artificial intelligence , physics , engineering , computer vision , mathematical analysis , biochemistry , chemistry , image (mathematics) , gene
In this paper, the authors propose a wavelet analysis technique to evaluate the noise filtering characteristics of filters. To analyze noise problems, many people have used Fourier analysis. But the Fourier spectrum reveals only frequency information. Therefore, it is difficult to obtain noise waveforms from the Fourier spectrum. To overcome this difficulty, we have employed the wavelet analysis technique. Wavelet analysis makes it possible to get time domain as well as frequency domain information. It is shown that wavelet analysis is a promising methodology for noise filter characteristic evaluation. © 1997 Scripta Technica, Inc. Electr Eng Jpn, 120(3): 1–8, 1997