A hybrid learning approach to blind deconvolution of linear MIMO systems
SCIE
SCOPUS
- Title
- A hybrid learning approach to blind deconvolution of linear MIMO systems
- Authors
- Choi, S; Cichocki, A
- Date Issued
- 1999-08-19
- Publisher
- Electronics Letters
- Abstract
- A hybrid network is presented which performs blind deconvolutions of linear MIMO systems. The hybrid network consists of a feedforward network followed by a feedback network, where each of the synapses is represented by an FIR filter. The FIR synapses in the feedforward network are learned by a Godard cost based algorithm and the FIR synapses in the Feedback network are updated by a spatio-temporal decorrelation algorithm so that different sources are recovered at different output nodes. An efficient spatio-temporal decorrelation algorithm based on the natural gradient is presented. The validity of the proposed method is confirmed by computer simulations.
- URI
- https://oasis.postech.ac.kr/handle/2014.oak/37478
- DOI
- 10.1049/EL:19990985
- ISSN
- 0013-5194
- Article Type
- Article
- Citation
- IEE-INST ELEC ENG, vol. 35, no. 17, page. 1429 - 1430, 1999-08-19
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- There are no files associated with this item.
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