DocumentCode :
507774
Title :
Quadratic Form Innovation to Blind Source Separation
Author :
Shi, Zhenwei ; Zhu, Zhanxing ; Tan, Xueyan ; Jiang, Zhiguo
Author_Institution :
Image Process. Center, Beijing Univ. of Aeronaut. & Astronaut., Beijing, China
Volume :
2
fYear :
2009
fDate :
14-16 Aug. 2009
Firstpage :
594
Lastpage :
597
Abstract :
This paper proposes a blind source separation (BSS) method based on the quadratic form innovation of original sources, which includes linear predictability and energy (square) predictability as special cases. A simple algorithm is presented by minimizing a loss function of the quadratic form innovation. Simulations by source signals with linear or square temporal autocorrelations verify the efficient implementation of the proposed method.
Keywords :
blind source separation; correlation methods; blind source separation; energy predictability; linear predictability; linear temporal autocorrelations; quadratic form innovation; square temporal autocorrelations; Autocorrelation; Biomedical signal processing; Blind source separation; Image processing; Independent component analysis; Mathematics; Neural networks; Signal processing algorithms; Source separation; Technological innovation; Blind source separation (BSS); independent component analysis (ICA); quadratic form innovation; temporal autocorrelation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation, 2009. ICNC '09. Fifth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3736-8
Type :
conf
DOI :
10.1109/ICNC.2009.328
Filename :
5362994
Link To Document :
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