DocumentCode :
2937426
Title :
Fractional Fourier domain LMS-based adaptive filtering algorithms in active noise control
Author :
Aldirmaz, Sultan ; Durak, Lütfiye ; Serbes, Ahmet
Author_Institution :
Elektron. ve Haberlesme Muhendisligi Bolumu, Yildiz Teknik Univ., Istanbul
fYear :
2008
fDate :
20-22 April 2008
Firstpage :
1
Lastpage :
4
Abstract :
A novel adaptive filtering technique based on fractional Fourier domains to suppress non-stationary noise is investigated and analyzed in this paper. In case of adapting in fractional Fourier domains, the MSE of ANC systems improved at least twice compared to the time-domain adaptation.
Keywords :
Fourier transforms; adaptive filters; interference suppression; least mean squares methods; signal denoising; LMS-based adaptive filtering algorithm; active noise control; fractional Fourier domain; nonstationary noise suppression; 1f noise; Active noise reduction; Adaptive filters; Filtering algorithms; Frequency; Least squares approximation; Monte Carlo methods; Reactive power; Remuneration; Time domain analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing, Communication and Applications Conference, 2008. SIU 2008. IEEE 16th
Conference_Location :
Aydin
Print_ISBN :
978-1-4244-1998-2
Electronic_ISBN :
978-1-4244-1999-9
Type :
conf
DOI :
10.1109/SIU.2008.4632655
Filename :
4632655
Link To Document :
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