A New Blind Deconvolution Method of Single-Output the EEG Convolution Mixed Signals

ISSN: 0973-7510

E-ISSN: 2581-690X

Ma Yong¹ , Tang Zhenmin¹ and Tao Yewei²

¹School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu – 210 094, China.

²College of Mathematics and Physics, Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu – 200 03, China.

J Pure Appl Microbiol. 2013;7(Spl. Edn.: April):397-403

Received: 03/03/2013 | Accepted: 14/04/2013 | Published: 30/04/2013

Abstract

EEG signal has the chaotic character. After studying the statistic characteristics of chaotic signals, a deconvolution filter for chaotic signal is introduced by the linear predication error analysis. Based on the chaotic geometric characteristic, the output data of this filter are used to reconstruct the dynamical equation of the original chaotic signal. Then the output data are corrected according to the chaotic physical feature. So a blind deconvolution method is achieved successfully which has single-input and single-output chaotic convolution mixed signal. And EEG signal simulation result verified the effectiveness of this proposed method.

Keywords

Blind deconvolution, chaos, linear predication, phase space reconstitution, EEG

Download PDF

Article Metrics

Article View: 1169

JPAM.7.spl.edn.1.58 (397 downloads)

Share This Article

© The Author(s) 2013. Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License which permits unrestricted use, sharing, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.