|Table of Contents|

Frequency-domain blind separation of convolutive mixtures based on Parseval's theorem

《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

Issue:
2015年01期
Page:
102-107
Research Field:
Publishing date:

Info

Title:
Frequency-domain blind separation of convolutive mixtures based on Parseval's theorem
Author(s):
Yang Qingchuan1Zang Chuanxia1Li Tianlei2Hu Yulan1Mei Tiemin1
1.School of Information Science and Engineering,Shenyang Ligong University,Shenyang 110168,China; 2.AVIC Shenyang Aircraft Engine Design Institute,Shenyang 110015,China
Keywords:
convolutive mixing blind source separation double-least-mean-squeres Parseval's theorem frequency-integration algorithm fast Fourier transform
PACS:
TN911.72
DOI:
-
Abstract:
To improve the performance of the blind source separation double least mean squeres(Double-LMS)algorithm which is computationally inefficient if the separation filters are too long,the Double-LMS is converted to a frequency-integration algorithm with the help of Parseval's theorem.Fast Fourier transform is exploited to implement the proposed algorithm to overcome the low computational efficiency problem due to the too long separation filters.Simulations show that the new algorithm works as well as the Double-LMS algorithm and has higher computation efficiency.

References:

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Last Update: 2015-02-28