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Analyze the efficiency of blind signal extraction algorithms in a background of impulse noise based on the maximization of the absolute value of the kurtosis
Joint Authors
Ubayd, Intisar Hamid
Laftah, Husayn Ali
Source
Journal of University of Babylon for Engineering Sciences
Issue
Vol. 26, Issue 1 (31 Jan. 2018), pp.394-406, 13 p.
Publisher
Publication Date
2018-01-31
Country of Publication
Iraq
No. of Pages
13
Main Subjects
Abstract EN
In this paper, analyzed the efficiency of algorithms of blind pulse signal extraction in a background of impulse noise based on the maximization of the absolute value of the kurtosis.
Synthesized blind separation algorithms with fixed point and it is considered in combination with the gradient.
The convergence of these algorithms is shown for zero and nonzero initial conditions.
A lemma and two theorems are formulated Allowing to prove the blind allocation of the signal and to determine the number of decisions with regard to signal extraction.
Modeling established that the fixed point algorithm based on the maximization of the absolute kurtosis value is more efficient and allows to separate the pulse desire signal with the signal-to-noise ratio of 30 dB more than the gradient algorithm with the same objective function.
Computer modeling of AbsoKurt and AbsoKurtFP algorithms Carried out in Simulink using Matlab programing.
American Psychological Association (APA)
Ubayd, Intisar Hamid& Laftah, Husayn Ali. 2018. Analyze the efficiency of blind signal extraction algorithms in a background of impulse noise based on the maximization of the absolute value of the kurtosis. Journal of University of Babylon for Engineering Sciences،Vol. 26, no. 1, pp.394-406.
https://search.emarefa.net/detail/BIM-918171
Modern Language Association (MLA)
Ubayd, Intisar Hamid& Laftah, Husayn Ali. Analyze the efficiency of blind signal extraction algorithms in a background of impulse noise based on the maximization of the absolute value of the kurtosis. Journal of University of Babylon for Engineering Sciences Vol. 26, no. 1 (2018), pp.394-406.
https://search.emarefa.net/detail/BIM-918171
American Medical Association (AMA)
Ubayd, Intisar Hamid& Laftah, Husayn Ali. Analyze the efficiency of blind signal extraction algorithms in a background of impulse noise based on the maximization of the absolute value of the kurtosis. Journal of University of Babylon for Engineering Sciences. 2018. Vol. 26, no. 1, pp.394-406.
https://search.emarefa.net/detail/BIM-918171
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 406
Record ID
BIM-918171