Title :
An efficient algorithm for extracting single independent component
Author :
Feng Da-Zhang ; Zheng, Bao ; Hai-Qin, Zhang ; Xian-Da, Zhang
Author_Institution :
Lab. of Radar Signal Process., Xidian Univ., Xi´´an, China
fDate :
6/22/1905 12:00:00 AM
Abstract :
We present a new off-line algorithm for extracting the independent components one by one from simultaneous mixer corrupted by noise, which relies only on a new criterion and an efficient search algorithm to achieve the extraction of the single independent component. The algorithm is an efficient, off-line, update approach, and can find the global optimal solution of the cost function defined in this paper. The advantage of this algorithm over existing methods is its ability to separate sources in spatially colored noise
Keywords :
array signal processing; eigenvalues and eigenfunctions; least squares approximations; random noise; statistical analysis; cost function; efficient search algorithm; eigenvectors; global optimal solution; least squares approach; off-line algorithm; sensor array processing; single independent component extraction; source separation; spatially colored noise; Colored noise; Cost function; Covariance matrix; Crosstalk; Independent component analysis; Iterative algorithms; Least squares approximation; Least squares methods; Signal processing; Signal processing algorithms;
Conference_Titel :
Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on
Print_ISBN :
0-7803-5747-7
DOI :
10.1109/ICOSP.2000.894522
