DocumentCode
701138
Title
Wideband blind identification and separation of independent sources
Author
Jun, Wang
Author_Institution
DSP Division, Department of Radio Engineering, Southeast University, Nanjing 210096, P.R. China
fYear
1996
fDate
10-13 Sept. 1996
Firstpage
1
Lastpage
4
Abstract
During recent years, there have been much interests focused on blind identification and blind source separation. Many approaches have been proposed mainly for the special and simple case in which the MIMO system is linear memoryless[1][2][4][5]. However, in a variety of applications in which wideband sources are involved, e.g., speech dereverberation, speech enchancement in the presence of background noise and competing speakers separation, these approaches can not be applied. Several solutions have been presented for the two-source two-sensor wideband problem with two channels assumed identity systems[6-8].
Keywords
Finite impulse response filters; Fourier transforms; Sensors; Source separation; Speech; Wideband;
fLanguage
English
Publisher
ieee
Conference_Titel
European Signal Processing Conference, 1996. EUSIPCO 1996. 8th
Conference_Location
Trieste, Italy
Print_ISBN
978-888-6179-83-6
Type
conf
Filename
7082863
Link To Document