DocumentCode :
1752244
Title :
An algorithm for the blind identification of N independent signals with 2 sensors
Author :
Taleb, Anisse
Volume :
1
fYear :
2001
fDate :
2001
Firstpage :
5
Abstract :
This paper presents a novel procedure for the blind identification of a linear mixture of n sources with 2 sensors. It is shown that the second characteristic function obeys a partial differential equation (PDE) whose coefficients are directly related to the mixture coefficients. A uniqueness result allows the design of an estimation procedure based on this PDE. An algorithm is therefore proposed and computer experiments illustrate its performance
Keywords :
estimation theory; identification; linear differential equations; partial differential equations; signal processing; blind identification; estimation procedure; independent signals; linear PDE; linear source mixture; partial differential equation; uniqueness result; Application software; Gaussian noise; Partial differential equations; Random variables; Sensor phenomena and characterization; Signal processing; Source separation; Sufficient conditions; Tensile stress; Tin;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and its Applications, Sixth International, Symposium on. 2001
Conference_Location :
Kuala Lumpur
Print_ISBN :
0-7803-6703-0
Type :
conf
DOI :
10.1109/ISSPA.2001.949761
Filename :
949761
Link To Document :
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