Cascade neural networks for multichannel blind deconvolution
SCIE
SCOPUS
- Title
- Cascade neural networks for multichannel blind deconvolution
- Authors
- Choi, S; Cichocki, A
- Date Issued
- 1998-06-11
- Publisher
- ELECTRONICS LETTERS
- Abstract
- The authors present a new simple but efficient and powerful extension of Bussgang-type blind equalisation algorithms [2] which can extract multiple source signals from their unknown convolutive mixtures. A cascade neural network is proposed. where each module consists of an equalisation subnetwork and a deflation subnetwork. This approach can adopt any blind equalisation algorithm (which has been developed for the equalisation of a single channel). It can also be applied when the number of source signals is not known in advance, Extensive computer simulation results confirm the validity and high efficiency of the proposed method.
- URI
- https://oasis.postech.ac.kr/handle/2014.oak/37479
- DOI
- 10.1049/EL:19980856
- ISSN
- 0013-5194
- Article Type
- Article
- Citation
- ELECTRONICS LETTERS, vol. 34, no. 12, page. 1186 - 1187, 1998-06-11
- Files in This Item:
- There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.