Nonlinear Blind Identification with Three-Dimensional Tensor Analysis
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-22, 22 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-06-13
Country of Publication
Egypt
No. of Pages
22
Main Subjects
Abstract EN
This paper deals with the analysis of a third-order tensor composed of a fourth-order output cumulants used for blind identification of a second-order Volterra-Hammerstein series.
It is demonstrated that this nonlinear identification problem can be converted in a multivariable system with multiequations having the form of Ax+By=c.
The system may be solved using several methods.
Simulation results with the Iterative Alternating Least Squares (IALS) algorithm provide good performances for different signal-to-noise ratio (SNR) levels.
Convergence issues using the reversibility analysis of matrices A and B are addressed.
Comparison results with other existing algorithms are carried out to show the efficiency of the proposed algorithm.
American Psychological Association (APA)
Cherif, I.& Abid, S.& Fnaiech, F.. 2012. Nonlinear Blind Identification with Three-Dimensional Tensor Analysis. Mathematical Problems in Engineering،Vol. 2012, no. 2012, pp.1-22.
https://search.emarefa.net/detail/BIM-1001471
Modern Language Association (MLA)
Cherif, I.…[et al.]. Nonlinear Blind Identification with Three-Dimensional Tensor Analysis. Mathematical Problems in Engineering No. 2012 (2012), pp.1-22.
https://search.emarefa.net/detail/BIM-1001471
American Medical Association (AMA)
Cherif, I.& Abid, S.& Fnaiech, F.. Nonlinear Blind Identification with Three-Dimensional Tensor Analysis. Mathematical Problems in Engineering. 2012. Vol. 2012, no. 2012, pp.1-22.
https://search.emarefa.net/detail/BIM-1001471
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1001471