DocumentCode
2482017
Title
Data Compression using Dual Tree Complex Wavelet Transform for System Identification
Author
Truong, Nguyen-Vu ; Wang, Liuping
Author_Institution
Sch. of Electr. & Comput. Eng., RMIT Univ., Melbourne, Vic.
fYear
2006
fDate
13-15 Dec. 2006
Firstpage
1345
Lastpage
1350
Abstract
Data pre-treatment is very valuable for system identification, particularly for nonlinear system modeling. This paper presents a data compression procedure using dual tree complex wavelet transform (DTCWT) for plant data pre-treatment in the context of system identification. The data is compressed to a few critical complex wavelet coefficients and denoised by the use of DTCWT. A simulation example is provided to demonstrate the performance and capabilities of the proposed approach
Keywords
data compression; identification; nonlinear systems; signal denoising; trees (mathematics); wavelet transforms; data compression; data denoising; data pretreatment; dual tree complex wavelet transform; nonlinear system modeling; system identification; wavelet coefficients; Data compression; Discrete wavelet transforms; Filters; System identification; Tin; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 2006 45th IEEE Conference on
Conference_Location
San Diego, CA
Print_ISBN
1-4244-0171-2
Type
conf
DOI
10.1109/CDC.2006.376792
Filename
4177935
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