DocumentCode :
1658283
Title :
A permutation alignment algorithm based on multiple criterions in audio signal Frequency-Domain Blind deconvolution
Author :
Zhang, Chao ; Xiao-pei ; Lv, Wu Zhao
Author_Institution :
Key Lab. Of Intell. Comput. & Signal Process., Anhui Univ., Hefei
fYear :
2008
Firstpage :
1540
Lastpage :
1543
Abstract :
In audio signal frequency-domain blind deconvolution, the conversion of signals from time-domain convolutive mixture to several instantaneous mixtures in frequency-domain may cause indeterminacies in scaling and permutation. Based on traditional permutation alignment algorithms, this paper proposes a permutation alignment algorithm based on multiple criterions. A combination of several classical criterions will be used to make a more precise permutation judgment. Simulation results show that algorithm based on multiple criterions achieves a better accuracy in permutation alignment and the acoustic quality of separation is improved.
Keywords :
audio signal processing; deconvolution; frequency-domain analysis; time-domain analysis; audio signal frequency-domain blind deconvolution; multiple criterions; permutation alignment algorithm; time-domain convolutive mixture; Blind source separation; Chaos; Convolution; Deconvolution; Filters; Fourier transforms; Frequency; Performance gain; Signal processing algorithms; Source separation; Frequency-Domain; blind deconvolution; multiple criterions; permutation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing, 2008. ICSP 2008. 9th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2178-7
Electronic_ISBN :
978-1-4244-2179-4
Type :
conf
DOI :
10.1109/ICOSP.2008.4697427
Filename :
4697427
Link To Document :
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