[1]CHENG Xie-feng,CHEN He-ming,MA Yong,et al.A blind deconvolution method for chaotic signals based on prediction and recons truction analysis[J].CAAI Transactions on Intelligent Systems,2007,2(4):63-68.
Copy

A blind deconvolution method for chaotic signals based on prediction and recons truction analysis

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 2 Number of periods: 2007 4 Page number: 63-68 Column: 学术论文—机器学习 Public date: 2007-08-25
Title:
A blind deconvolution method for chaotic signals based on prediction and recons truction analysis
Author(s):
CHENG Xie-feng1; 3;  CHEN He-ming1; MA Yong2;  HUANG Yong-lin1
1. Nanjing University of Posts and Telecommunications, Nanjing 210046,China;
2. Division of Basic Courses, Beijing Institute of Machinery, Beijing 100085, C hina; 3.School of Control Science and Engineering, Jinan University, Jinan 2500 22, China
Keywords:
blind deconvolution;  chaos;  signal processing
CLC:
TN911.7
DOI:
-
Abstract:
Based on the statistical characteristics of chaotic signals and blind signal processing techniques, a blind deconvolution method for chaotic signals b ased on prediction and reconstruction analysis is proposed. This method achieve s blind deconvolution with respect to source signals and transmission functions of chaotic signals with singleinput and singleoutput through linear predicat io n error analysis and artificial intelligence compensation. The effectiveness and feasibility of the proposed method were demonstrated in simulations.
References:
［1］ GOLDBERGER A L, WEST B J. Chaos and fractals in human physiology［J］.Sci entific American, 1990, 62(3): 42-49.
［2］刘 琚,何振亚.盲源分离和盲反卷积［J］. 电子学报, 2002,30(4):591-597. 
?LIU Ju, HE Zhenya. A survey of blind source separation and bli nd deconvolution ［J］. Acta Electronica Sinica, 2002, 30(4):591-597.
［3］BELL A J, SEJNOWSKI T J. An informationmaximization approach t o blind sep aration and blind deconvolution ［J］. Neural Computation, 1995,7:1129-1159.
［4］COMON P. Independent component analysis, a new concept ［J］. Signal Proce ssing, 1994, 36(4): 287-314.
［5］HSUE J J, YAGLE A E. Blind deconvolution of symmetric noncausal impulse re sp onses using twosided linear prediction ［J］. Signal Processing, 1994, 42(6): 1509-1518.
［6］CHENG Xiefeng, ZHANG Yong, LIU Ju. A novel blind deconvolution method for si ngleoutput chaotic convolution mixed signal ［A］.International Symposium o n Neural Networks［C］. Chongqing, China, 2005.
［7］BENETTIN G, GALGANI L. Kolmogorov entropy and numerical experiments ［J］. Phys Rev 1976, 14: 2338-2345. 
［8］WANG F P. Harmonic signal extraction form strong chaotic interference［J］ . Acta Phys，2001(6)：1019-1023.
［9］TONG L, LIU R, SOON V C, et al. Indeterminacy and identifiability of blind identification［J］.IEEE Trans on Circuits and Systems,1991,38(5): 499-506.
［10］CHENG Xiefeng, LIU Ju. A novel denoising algorithm based on feed forward m ultilayer blind separation ［A］. In Proc ISNN2004 ［C］. Dalian, China, 2004. 
［12］JUTTEN C,HERAULT J.Blind separation of sources, Part I: an adaptive algorithm based on neuromimetic ［J］.Signal Processing,1991,24(4): 1-10.
Similar References:

Memo

-

Last Update: 2009-05-07

Copyright © CAAI Transactions on Intelligent Systems