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dc.contributor.authorTran, L.
dc.contributor.authorSchepker, H.
dc.contributor.authorDoclo, S.
dc.contributor.authorDam, Hai Huyen Heidi
dc.contributor.authorNordholm, Sven
dc.date.accessioned2019-02-19T04:15:59Z
dc.date.available2019-02-19T04:15:59Z
dc.date.created2019-02-19T03:58:20Z
dc.date.issued2018
dc.identifier.citationTran, L. and Schepker, H. and Doclo, S. and Dam, H.H.H. and Nordholm, S. 2018. Frequency domain improved practical variable step-size for adaptive feedback cancellation using pre-filters, pp. 171-175.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/74147
dc.identifier.doi10.1109/IWAENC.2018.8521406
dc.description.abstract

© 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.

dc.titleFrequency domain improved practical variable step-size for adaptive feedback cancellation using pre-filters
dc.typeConference Paper
dcterms.source.startPage171
dcterms.source.endPage175
dcterms.source.title16th International Workshop on Acoustic Signal Enhancement, IWAENC 2018 - Proceedings
dcterms.source.series16th International Workshop on Acoustic Signal Enhancement, IWAENC 2018 - Proceedings
dcterms.source.isbn9781538681510
curtin.departmentSchool of Electrical Engineering, Computing and Mathematical Science (EECMS)
curtin.accessStatusFulltext not available


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