| Performance analysis of approximate Affine Projection Algorithm in acoustic feedback cancellation. | |
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MedLine Citation:
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PMID: 19162642 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Acoustic feedback is an annoying problem in several audio applications and especially in hearing aids. Adaptive feedback cancellation techniques have attracted recent attention and show great promise in reducing the deleterious effects of feedback. In this paper, we investigated the performance of a class of adaptive feedback cancellation algorithms viz. the approximated Affine Projection Algorithms (APA). Mixed results were obtained with the natural speech and music data collected from five different commercial hearing aids in a variety of sub-oscillatory and oscillatory feedback conditions. The performance of the approximated APA was significantly better with music stimuli than natural speech stimuli. |
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Authors:
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Mohammad Nikjoo S; Amir Seyedi; Arash Saber Tehrani |
Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference Volume: 2008 ISSN: 1557-170X ISO Abbreviation: Conf Proc IEEE Eng Med Biol Soc Publication Date: 2008 |
Date Detail:
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Created Date: 2009-02-16 Completed Date: 2009-05-07 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 101243413 Medline TA: Conf Proc IEEE Eng Med Biol Soc Country: United States |
Other Details:
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Languages: eng Pagination: 258-61 Citation Subset: IM |
Affiliation:
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Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON M5S 1A1, Canada. m.nikjoo@utoronto.ca |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Algorithms* Artifacts* Computer-Aided Design* Equipment Design Equipment Failure Analysis Feedback Hearing Aids* Noise* Reproducibility of Results Sensitivity and Specificity Sound Spectrography / methods* |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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