Title :
An algorithm for blind source separation based on the characteristic function
Author :
Zhijin, Zhao ; Weizhang, Zhu
Author_Institution :
Hangzhou Inst. of Electron. Eng., China
Abstract :
In this paper, blind source separation (BSS) is studied when the dimension of receiving signal is higher than that of source signal, and a new algorithm for blind source separation (BSS) based on the generalized characteristic function is proposed. The accuracy for signal separation is enhanced, and the computational complexity is reduced. The algorithm is derived and computer simulation results are given, which illustrate that the theoretical analysis is correct.
Keywords :
blind source separation; eigenvalues and eigenfunctions; matrix algebra; BSS; blind source separation; computational complexity; eigenvector matrix; generalized characteristic function; signal separation accuracy; Algorithm design and analysis; Array signal processing; Blind source separation; Computer simulation; Equations; Gaussian noise; Matrix decomposition; Signal processing algorithms; Source separation; Vectors;
Conference_Titel :
Signal Processing, 2002 6th International Conference on
Print_ISBN :
0-7803-7488-6
DOI :
10.1109/ICOSP.2002.1181031
