Journal
IEEE SIGNAL PROCESSING LETTERS
Volume 7, Issue 7, Pages 197-200Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/97.847367
Keywords
blind source separation; joint diagonalization; weighted least squares
Categories
Ask authors/readers for more resources
Blind separation of Gaussian sources with different spectra can be attained using second-order statistics. The second-order blind identification (SOBI) algorithm, proposed by Belouchrani et at, uses approximate joint diagonalization. We show that substantial improvement over SOBI can be attained when the joint diagonalization is transformed into a properly weighted nonlinear least squares problem. We provide an iterative solution and derive the optimal weights for our weights-adjusted SOBI (WASOBI) algorithm. The improvement is demonstrated by analysis and simulations.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available