Deconvolution filter design for fractal signal transmission systems: a multiscale Kalman filter bank approach

Author

Chen, Bor-Sen ; Hou, Wen-Sheng

Author_Institution

Dept. of Electr. Eng., Nat. Tsing Hua Univ., Hsinchu, Taiwan

Volume

45

Issue

5

fYear

1997

fDate

5/1/1997 12:00:00 AM

Firstpage

1359

Lastpage

1364

Abstract

A deconvolution filtering design is proposed for the 1/f fractal signal transmission systems, with its design philosophy being based on multiscale Kalman deconvolution filter bank equipped in the analysis/synthesis wavelet filter bank, The role of wavelet transformation for 1/f fractal signal process is exploited as a multiscale whitening filter for removing the properties of self-similarity and long-range dependence from the fractal signals

Keywords

Gaussian noise; Kalman filters; band-pass filters; deconvolution; filtering theory; fractals; signal reconstruction; signal representation; signal synthesis; wavelet transforms; white noise; 1/f fractal signal process; analysis/synthesis wavelet filter bank; deconvolution filtering design; fractal signal transmission systems; multiscale Kalman filter bank approach; multiscale whitening filter; self-similarity properties removal; signal reconstruction; wavelet transformation; Deconvolution; Filter bank; Filtering; Fractals; Kalman filters; Signal analysis; Signal design; Signal processing; Signal synthesis; Wavelet analysis;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.575710

Filename

575710