Approximate maximum likelihood source separation using the natural gradient
SCIE
SCOPUS
- Title
- Approximate maximum likelihood source separation using the natural gradient
- Authors
- Choi, S; Cichocki, A; Zhang, LQ; Amari, S
- Date Issued
- 2003-01
- Publisher
- IEICE-INST ELECTRONICS INFORMATION CO
- Abstract
- This paper addresses a maximum likelihood method for source separation in the case of overdetermined mixtures corrupted by additive white Gaussian noise. We consider an approximate likelihood which is based on the Laplace approximation and develop a natural gradient adaptation algorithm to find a local maximum of the corresponding approximate likelihood. We present a detailed mathematical derivation of the algorithm using the Lie group invariance. Useful behavior of the algorithm is verified by numerical experiments.
- URI
- https://oasis.postech.ac.kr/handle/2014.oak/10319
- ISSN
- 0916-8508
- Article Type
- Article
- Citation
- IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, vol. E86A, no. 1, page. 198 - 205, 2003-01
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