Nonlinear acoustic echo cancellation using an adaptive Hammerstein block structure based on a generalized basis function

We investigated adaptive algorithms for a Hammerstein block structure in which a static nonlinear block and dynamic linear block are cascaded. The approach considered here is to use generalized orthonormal basis functions in a Hammerstein block structure by using xed pole lter banks. We applied the normalized least mean square approach to the developed adaptive algorithm in order to acquire Hammerstein block structure parameters. Performance comparison of the proposed approach was investigated considering convergence speed and parametric complexity for acoustic echo cancellation application. The results indicated that in the developed algorithm along with appropriate selection of xed poles, the algorithm convergences faster and less parametric complexity is provided when compared to direct adaptive Hammerstein algorithms with IIR and FIR linear blocks.

We investigated adaptive algorithms for a Hammerstein block structure in which a static nonlinear block and dynamic linear block are cascaded. The approach considered here is to use generalized orthonormal basis functions in a Hammerstein block structure by using xed pole lter banks. We applied the normalized least mean square approach to the developed adaptive algorithm in order to acquire Hammerstein block structure parameters. Performance comparison of the proposed approach was investigated considering convergence speed and parametric complexity for acoustic echo cancellation application. The results indicated that in the developed algorithm along with appropriate selection of xed poles, the algorithm convergences faster and less parametric complexity is provided when compared to direct adaptive Hammerstein algorithms with IIR and FIR linear blocks.

Eser Adı
[dc.title]
Nonlinear acoustic echo cancellation using an adaptive Hammerstein block structure based on a generalized basis function
Yazar
[dc.contributor.author]
Onur, Tuğba Özge
Yazar
[dc.contributor.author]
Hacıoğlu, Rıfat
Yayın Yılı
[dc.date.issued]
2017
Yayın Türü
[dc.type]
article
Özet
[dc.description.abstract]
We investigated adaptive algorithms for a Hammerstein block structure in which a static nonlinear block and dynamic linear block are cascaded. The approach considered here is to use generalized orthonormal basis functions in a Hammerstein block structure by using xed pole lter banks. We applied the normalized least mean square approach to the developed adaptive algorithm in order to acquire Hammerstein block structure parameters. Performance comparison of the proposed approach was investigated considering convergence speed and parametric complexity for acoustic echo cancellation application. The results indicated that in the developed algorithm along with appropriate selection of xed poles, the algorithm convergences faster and less parametric complexity is provided when compared to direct adaptive Hammerstein algorithms with IIR and FIR linear blocks.
Özet
[dc.description.abstract]
We investigated adaptive algorithms for a Hammerstein block structure in which a static nonlinear block and dynamic linear block are cascaded. The approach considered here is to use generalized orthonormal basis functions in a Hammerstein block structure by using xed pole lter banks. We applied the normalized least mean square approach to the developed adaptive algorithm in order to acquire Hammerstein block structure parameters. Performance comparison of the proposed approach was investigated considering convergence speed and parametric complexity for acoustic echo cancellation application. The results indicated that in the developed algorithm along with appropriate selection of xed poles, the algorithm convergences faster and less parametric complexity is provided when compared to direct adaptive Hammerstein algorithms with IIR and FIR linear blocks.
Kayıt Giriş Tarihi
[dc.date.accessioned]
2019-12-23
Açık Erişim Tarihi
[dc.date.available]
2019-12-23
Yayın Dili
[dc.language.iso]
eng
Konu Başlıkları
[dc.subject]
Mühendislik
Konu Başlıkları
[dc.subject]
Elektrik ve Elektronik
Künye
[dc.identifier.citation]
Onur, T. Ö. ve Hacioğlu, R. (2017). Nonlinear acoustic echo cancellation using an adaptive Hammerstein block structure based on a generalized basis function. Turkish Journal of Electrical Engineering and Computer Sciences, 25(2), 939-949.
Haklar
[dc.rights]
info:eu-repo/semantics/openAccess
ISSN
[dc.identifier.issn]
1300-0632
İlk Sayfa Sayısı
[dc.identifier.startpage]
939
Son Sayfa Sayısı
[dc.identifier.endpage]
949
Dergi Adı
[dc.relation.journal]
Turkish Journal of Electrical Engineering and Computer Sciences
Dergi Sayısı
[dc.identifier.issue]
2
Dergi Cilt Bilgisi
[dc.identifier.volume]
25
Tek Biçim Adres
[dc.identifier.uri]
http://www.trdizin.gov.tr/publication/paper/detail/TWpRNE16VTFOUT09
Tek Biçim Adres
[dc.identifier.uri]
https://hdl.handle.net/20.500.12628/856
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11 Haziran 2024 06:32
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Hammerstein algorithm adaptive structure approach investigated linear developed complexity parametric algorithms cancellation considering convergence blocks direct acoustic compared convergences application results indicated provided appropriate selection faster proposed comparison static nonlinear dynamic cascaded considered generalized orthonormal
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