Frequency domain improved practical variable step-size for adaptive feedback cancellation using pre-filters
© 2018 IEEE. In adaptive feedback cancellation (AFC) methods, the step-size plays an important role in controlling the convergence speed of an adaptive filter in the feedback canceller path. The selection of this step-size provides a compromise between a low steady-state error and a fast convergence...
| Main Authors: | , , , , |
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| Format: | Conference Paper |
| Published: |
2018
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| Online Access: | http://hdl.handle.net/20.500.11937/74147 |
| _version_ | 1848763193169543168 |
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| author | Tran, L. Schepker, H. Doclo, S. Dam, Hai Huyen Heidi Nordholm, Sven |
| author_facet | Tran, L. Schepker, H. Doclo, S. Dam, Hai Huyen Heidi Nordholm, Sven |
| author_sort | Tran, L. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | © 2018 IEEE. In adaptive feedback cancellation (AFC) methods, the step-size plays an important role in controlling the convergence speed of an adaptive filter in the feedback canceller path. The selection of this step-size provides a compromise between a low steady-state error and a fast convergence rate. The use of a variable step-size (VSS) is a potential solution to achieve both fast convergence and low steady-state error. In this paper, we propose a frequency-domain AFC method which integrates an improved practical VSS (IPVSS) algorithm into a partitioned-block frequency-domain (PBFD) implementation of the prediction error method (PEM) for hearing aid applications. The proposed method derives benefit from the IPVSS algorithm, e.g., a better compromise solution between convergence and steady-state error, and from the PBFD-PEM, e.g., a low numerical complexity and an improved convergence. The proposed method is evaluated for different types of speech incoming signals as well as for a sudden change of the acoustic feedback path. Simulation results show that the proposed method provides a significant performance improvement compared to the PBFD affine combination approach as well as the PBFD using either the upper or the lower step-sizes which are utilised as boundaries in the IPVSS algorithm. |
| first_indexed | 2025-11-14T10:59:34Z |
| format | Conference Paper |
| id | curtin-20.500.11937-74147 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:59:34Z |
| publishDate | 2018 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-741472019-02-19T04:27:36Z Frequency domain improved practical variable step-size for adaptive feedback cancellation using pre-filters Tran, L. Schepker, H. Doclo, S. Dam, Hai Huyen Heidi Nordholm, Sven © 2018 IEEE. In adaptive feedback cancellation (AFC) methods, the step-size plays an important role in controlling the convergence speed of an adaptive filter in the feedback canceller path. The selection of this step-size provides a compromise between a low steady-state error and a fast convergence rate. The use of a variable step-size (VSS) is a potential solution to achieve both fast convergence and low steady-state error. In this paper, we propose a frequency-domain AFC method which integrates an improved practical VSS (IPVSS) algorithm into a partitioned-block frequency-domain (PBFD) implementation of the prediction error method (PEM) for hearing aid applications. The proposed method derives benefit from the IPVSS algorithm, e.g., a better compromise solution between convergence and steady-state error, and from the PBFD-PEM, e.g., a low numerical complexity and an improved convergence. The proposed method is evaluated for different types of speech incoming signals as well as for a sudden change of the acoustic feedback path. Simulation results show that the proposed method provides a significant performance improvement compared to the PBFD affine combination approach as well as the PBFD using either the upper or the lower step-sizes which are utilised as boundaries in the IPVSS algorithm. 2018 Conference Paper http://hdl.handle.net/20.500.11937/74147 10.1109/IWAENC.2018.8521406 restricted |
| spellingShingle | Tran, L. Schepker, H. Doclo, S. Dam, Hai Huyen Heidi Nordholm, Sven Frequency domain improved practical variable step-size for adaptive feedback cancellation using pre-filters |
| title | Frequency domain improved practical variable step-size for adaptive feedback cancellation using pre-filters |
| title_full | Frequency domain improved practical variable step-size for adaptive feedback cancellation using pre-filters |
| title_fullStr | Frequency domain improved practical variable step-size for adaptive feedback cancellation using pre-filters |
| title_full_unstemmed | Frequency domain improved practical variable step-size for adaptive feedback cancellation using pre-filters |
| title_short | Frequency domain improved practical variable step-size for adaptive feedback cancellation using pre-filters |
| title_sort | frequency domain improved practical variable step-size for adaptive feedback cancellation using pre-filters |
| url | http://hdl.handle.net/20.500.11937/74147 |