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Paper Information

Journal:   INTERNATIONAL JOURNAL OF ENGINEERING   NOVEMBER 2003 , Volume 16 , Number 4 (TRANSACTIONS A: BASICS); Page(s) 331 To 346.
 
Paper: 

BLIND SEPARATION OF JOINTLY STATIONARY CORRELATED SOURCES

 
 
Author(s):  AGHABOZORGI M.R., DOUST HOSSEINI A.M.
 
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Abstract: 
The separation of unobserved sources from mixed observed data is a fundamental ‎signal processing problem. Most of the proposed techniques for solving this problem ‎rely on independence or at least uncorrelation assumption for source signals. This ‎paper introduces a technique for cases that source signals are correlated with each ‎other. The method uses Wold decomposition principle for extracting desired and ‎proper information from the predictable part of the observed data, and exploits ‎approaches based on second-order statistics to estimate the mixing matrix and source ‎signals. Simulation results are provided to illustrate the effectiveness of the method‏.‏
 
Keyword(s): BLIND SOURCE SEPARATION, WOLD DECOMPOSITION, SECOND-ORDER STATISTICS
 
 
References: 
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Citations: 
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+ Click to Cite.
APA: Copy

AGHABOZORGI, M., & DOUST HOSSEINI, A. (2003). BLIND SEPARATION OF JOINTLY STATIONARY CORRELATED SOURCES. INTERNATIONAL JOURNAL OF ENGINEERING, 16(4 (TRANSACTIONS A: BASICS)), 331-346. https://www.sid.ir/en/journal/ViewPaper.aspx?id=2289



Vancouver: Copy

AGHABOZORGI M.R., DOUST HOSSEINI A.M.. BLIND SEPARATION OF JOINTLY STATIONARY CORRELATED SOURCES. INTERNATIONAL JOURNAL OF ENGINEERING. 2003 [cited 2021May19];16(4 (TRANSACTIONS A: BASICS)):331-346. Available from: https://www.sid.ir/en/journal/ViewPaper.aspx?id=2289



IEEE: Copy

AGHABOZORGI, M., DOUST HOSSEINI, A., 2003. BLIND SEPARATION OF JOINTLY STATIONARY CORRELATED SOURCES. INTERNATIONAL JOURNAL OF ENGINEERING, [online] 16(4 (TRANSACTIONS A: BASICS)), pp.331-346. Available: https://www.sid.ir/en/journal/ViewPaper.aspx?id=2289.



 
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