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