Based on two-dimensional wavelet decomposition time-varying System Identification

  • Xia Lu
Keywords: Two-dimensional wavelet;, Time-varying systems, Scale function, Filter


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

Author Biography

Xia Lu

Xiangtan University Press ,Xiangtan University, Hunan Pro., ,Xiangtan, 411105, P.R.


[1] Qian qing, Kai yang Zong. Using wavelet analysis [M]. Xi'an: Xi'an University of Electronic
Science and Technology Publishing House .1994.
[2] Rui lin Long , high-dimensional wavelet analysis [M]. Beijing: World Publishing Company,
[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.