Multistage second order blind signal separation
In this paper, we present a scheme which improve the convergence for the multistage second-order gradient based blind signal separation (BSS) algorithm. For the multistage second-order BSS, the constraints for each stage is relax where the constraints are formulated to ease the permutation effects....
| Main Authors: | , |
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| Other Authors: | |
| Format: | Conference Paper |
| Published: |
Universal Academy Press
2007
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| Online Access: | http://hdl.handle.net/20.500.11937/45743 |
| _version_ | 1848757369703497728 |
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| author | Dam, Hai Huyen Nordholm, Sven |
| author2 | M. Fukushima et al |
| author_facet | M. Fukushima et al Dam, Hai Huyen Nordholm, Sven |
| author_sort | Dam, Hai Huyen |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | In this paper, we present a scheme which improve the convergence for the multistage second-order gradient based blind signal separation (BSS) algorithm. For the multistage second-order BSS, the constraints for each stage is relax where the constraints are formulated to ease the permutation effects. The presented scheme utilizes a search method in each iteration and each stage for an optimum step size. Evaluations of the proposed scheme in a real room environment show that the search for the optimum step size results in significantly faster convergence for the multistage BSS when compared with fixed step size gradient based algorithm. |
| first_indexed | 2025-11-14T09:27:00Z |
| format | Conference Paper |
| id | curtin-20.500.11937-45743 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:27:00Z |
| publishDate | 2007 |
| publisher | Universal Academy Press |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-457432017-01-30T15:23:09Z Multistage second order blind signal separation Dam, Hai Huyen Nordholm, Sven M. Fukushima et al In this paper, we present a scheme which improve the convergence for the multistage second-order gradient based blind signal separation (BSS) algorithm. For the multistage second-order BSS, the constraints for each stage is relax where the constraints are formulated to ease the permutation effects. The presented scheme utilizes a search method in each iteration and each stage for an optimum step size. Evaluations of the proposed scheme in a real room environment show that the search for the optimum step size results in significantly faster convergence for the multistage BSS when compared with fixed step size gradient based algorithm. 2007 Conference Paper http://hdl.handle.net/20.500.11937/45743 Universal Academy Press restricted |
| spellingShingle | Dam, Hai Huyen Nordholm, Sven Multistage second order blind signal separation |
| title | Multistage second order blind signal separation |
| title_full | Multistage second order blind signal separation |
| title_fullStr | Multistage second order blind signal separation |
| title_full_unstemmed | Multistage second order blind signal separation |
| title_short | Multistage second order blind signal separation |
| title_sort | multistage second order blind signal separation |
| url | http://hdl.handle.net/20.500.11937/45743 |