Based on two-dimensional wavelet decomposition time-varying System Identification
Keywords:
Two-dimensional wavelet;, Time-varying systems, Scale function, Filter
Abstract
n practice, we often encounter non-linear time-varying systems. It is difficult
to identificate and model them. In this paper, linear operator deduced wavelet-based
time-varying systems described in the modeling process, and gives its identification
alg
References
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Science and Technology Publishing House .1994.
[2] Rui lin Long , high-dimensional wavelet analysis [M]. Beijing: World Publishing Company,
1995
[3]Gui duo Duan, Jian ping li, Jin Song,Leng. binary wavelet filter construction [J] Engineering
Mathematics 260-266 [4]Jefrey S,Geronimo.Hugo J,Woerdeman． Positive extensions，
fejer． riesz factorization and autoregressive
filters in two variables[J]． Annals of Mathematics， 2004， 160(3)： 839-906
[5] Ya jing,Yang , Peng hong Peng.Based on fusion energy cost function acoustic signal
recognition algorithm [J] Computer Engineering and Design 2005, 26 (6) ,1456-1459.
Published
2018-10-31
Section
Articles
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