Natural gradient learning for spatio-temporal decorrelation: Recurrent network
SCIE
SCOPUS
- Title
- Natural gradient learning for spatio-temporal decorrelation: Recurrent network
- Authors
- Choi, S; Amari, S; Cichocki, A
- Date Issued
- 2000-12
- Publisher
- IEICE TRANSACTIONS on Fundamentals of Electronics
- Abstract
- Spatio-temporal decorrelation is the task of eliminating correlations between associated signals in spatial domain as well as in time domain. In this paper. we present a simple but efficient adaptive algorithm for spatio-temporal decorrelation. For the task of spatio-temporal decorrelation. we consider a dynamic recurrent network and calculate the associated natural gradient for the minimization of all appropriate optimization function, The natural gradient based spatio-temporal decorrelation algorithm is applied to the task of blind deconvolution of linear single input multiple output (SIMO) system and its performance is compared to the spatio-temporal anti-Hebbian learning rule.
- URI
- https://oasis.postech.ac.kr/handle/2014.oak/37475
- ISSN
- 0916-8508
- Article Type
- Article
- Citation
- IEICE transactions on fundamentals of electronics, communications and computer sciences, vol. E83-A, no. 12, page. 2715 - 2722, 2000-12
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- There are no files associated with this item.
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