A hybrid descent method for optimal sigmoid filter design
In this letter, a hybrid descent method is used to determine a set of filter parameters for a sigmoid filter which attempts to work under various SNR conditions. It overcomes the limitations of the current sigmoid filters that performs effectively only at a single SNR. Results show that significant...
| Main Authors: | , , , , |
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| Format: | Journal Article |
| Published: |
IEEE Signal Processing Society
2014
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| Online Access: | http://hdl.handle.net/20.500.11937/41143 |
| _version_ | 1848756062597939200 |
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| author | Chan, Kit Nordholm, Sven Low, S. Yong, Pei Yiu, Ka Fai |
| author_facet | Chan, Kit Nordholm, Sven Low, S. Yong, Pei Yiu, Ka Fai |
| author_sort | Chan, Kit |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | In this letter, a hybrid descent method is used to determine a set of filter parameters for a sigmoid filter which attempts to work under various SNR conditions. It overcomes the limitations of the current sigmoid filters that performs effectively only at a single SNR. Results show that significant improvement in terms of better speech qualities can be achieved by the proposed sigmoid filter when working under various SNR conditions. |
| first_indexed | 2025-11-14T09:06:14Z |
| format | Journal Article |
| id | curtin-20.500.11937-41143 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:06:14Z |
| publishDate | 2014 |
| publisher | IEEE Signal Processing Society |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-411432017-09-13T14:11:35Z A hybrid descent method for optimal sigmoid filter design Chan, Kit Nordholm, Sven Low, S. Yong, Pei Yiu, Ka Fai sigmoid function noise suppression speech enhancement Hybrid optimization method various SNR conditions In this letter, a hybrid descent method is used to determine a set of filter parameters for a sigmoid filter which attempts to work under various SNR conditions. It overcomes the limitations of the current sigmoid filters that performs effectively only at a single SNR. Results show that significant improvement in terms of better speech qualities can be achieved by the proposed sigmoid filter when working under various SNR conditions. 2014 Journal Article http://hdl.handle.net/20.500.11937/41143 10.1109/LSP.2014.2303498 IEEE Signal Processing Society fulltext |
| spellingShingle | sigmoid function noise suppression speech enhancement Hybrid optimization method various SNR conditions Chan, Kit Nordholm, Sven Low, S. Yong, Pei Yiu, Ka Fai A hybrid descent method for optimal sigmoid filter design |
| title | A hybrid descent method for optimal sigmoid filter design |
| title_full | A hybrid descent method for optimal sigmoid filter design |
| title_fullStr | A hybrid descent method for optimal sigmoid filter design |
| title_full_unstemmed | A hybrid descent method for optimal sigmoid filter design |
| title_short | A hybrid descent method for optimal sigmoid filter design |
| title_sort | hybrid descent method for optimal sigmoid filter design |
| topic | sigmoid function noise suppression speech enhancement Hybrid optimization method various SNR conditions |
| url | http://hdl.handle.net/20.500.11937/41143 |