Overcomplete Blind Source Separation of Finite Alphabet Sources

Bin-Chul IHM  Dong-Jo PARK  Young-Hyun KWON  

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E84-D   No.1   pp.209-212
Publication Date: 2001/01/01
Online ISSN: 
DOI: 
Print ISSN: 0916-8532
Type of Manuscript: LETTER
Category: Algorithms
Keyword: 
overcomplete,  blind source separation,  maximum likelihood,  step size,  initialization,  

Full Text: PDF>>
Buy this Article




Summary: 
We propose a blind source separation algorithm for the mixture of finite alphabet sources where sensors are less than sources. The algorithm consists of an update equation of an estimated mixing matrix and enumeration of the inferred sources. We present the bound of a step size for the stability of the algorithm and two methods of assignment of the initial point of the estimated mixing matrix. Simulation results verify the proposed algorithm.