Data compression using dual tree complex wavelet transform for system identification

被引：0
|
作者：
Truong, Nguyen-Vu [1 ]
Wang, Liuping [1 ]
机构：
[1] RMIT Univ, Sch Elect & Comp Engn, Melbourne, Vic, Australia
来源：
PROCEEDINGS OF THE 45TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-14 | 2006年
关键词：
D O I：
10.1109/CDC.2006.376792
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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 deposited by the set of DTCWT. A simulation example is provided to demonstrate the performance and capabilities of the proposed apporach.
引用
收藏
页码：1345 / 1350
页数：6
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