DocumentCode :
698852
Title :
Histogram-based Blind Source Separation of more sources than sensors using a DUET-ESPRIT technique
Author :
Melia, Thomas ; Rickard, Scott ; Fearon, Conor
Author_Institution :
Digital Signal Process. Group, Univ. Coll. Dublin, Dublin, Ireland
fYear :
2005
fDate :
4-8 Sept. 2005
Firstpage :
1
Lastpage :
4
Abstract :
The Direction of Arrival estimation algorithm ESPRIT is capable of estimating the angles of arrival of N narrowband source signals using M > N anechoic sensor mixtures from a uniform linear array (ULA). Using a similar parameter estimation step, the DUET Blind Source Separation algorithm can demix N > 2 speech signals using M = 2 anechoic mixtures of the signals. We introduce here the DUET-ESPRIT (DESPRIT) Blind Source Separation algorithm which demixes N > M speech signals using M ≥ 2 anechoic mixtures.
Keywords :
array signal processing; blind source separation; direction-of-arrival estimation; speech processing; DESPRIT; DUET-ESPRIT sources technique; ULA; anechoic sensor mixtures; angle-of-arrival estimation; direction-of-arrival estimation algorithm; histogram-based blind source separation; narrow-band source signals; parameter estimation; speech signals; uniform linear array; Blind source separation; Histograms; Sensor arrays; Time-frequency analysis; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Conference, 2005 13th European
Conference_Location :
Antalya
Print_ISBN :
978-160-4238-21-1
Type :
conf
Filename :
7078449
Link To Document :
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