DocumentCode :
2572453
Title :
Application of JADE to separate complex-valued sources
Author :
Hu, Jing ; Fan, LeHao
Author_Institution :
PLA Univ. of Sci. & Technol., Nanjing, China
fYear :
2011
fDate :
27-29 June 2011
Firstpage :
1127
Lastpage :
1129
Abstract :
Blind source separation (BSS) denotes observing mixtures of independent sources, and by making use of these mixtures signals only and nothing else ,recovering the original signals. Joint Approximative Diagonalization of Eigenmatrices (JADE) is a statistic-based method for transforming an observed random vector into components that are as mutually independent as possible. In this paper, we employ JADE for separating the complex-valued signals. Results of the simulation show that the JADE can separate the complex-valued sources form the observations effectively.
Keywords :
blind source separation; eigenvalues and eigenfunctions; independent component analysis; JADE; blind source separation; complex-valued sources; joint approximative diagonalization of eigenmatrices; random vector; statistic-based method; Independent component analysis; Joints; Quadrature amplitude modulation; Source separation; Spatiotemporal phenomena; TV; BSS; Complex-valued sources; ICA; JADE; highorder cumulation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Service System (CSSS), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9762-1
Type :
conf
DOI :
10.1109/CSSS.2011.5972049
Filename :
5972049
Link To Document :
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