On structure identification of parallel Wiener-Hammerstein models

Hosam E. Emara-Shabaik; Kamal A.F. Moustafa; Jaleel H.S. Talaq

On structure identification of parallel Wiener-Hammerstein models

Hosam E. Emara-Shabaik^*, Kamal A.F. Moustafa, Jaleel H.S. Talaq

^*Corresponding author for this work

King Fahd University of Petroleum & Minerals

Research output: Contribution to conference › Paper › peer-review

1 Scopus citations

Abstract

In this paper, models composed of parallel branches of the Wiener-Hammerstein type are studied. Using a zero-mean stationary white Gaussian sequence as input to such models, their structure can be identified by considering the bispectrum of the output sequence. Simulation examples are included to illustrate the results of the paper.

Original language	English
Pages	1705-1709
Number of pages	5
State	Published - 1994

ASJC Scopus subject areas

Control and Systems Engineering

Cite this

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title = "On structure identification of parallel Wiener-Hammerstein models",

abstract = "In this paper, models composed of parallel branches of the Wiener-Hammerstein type are studied. Using a zero-mean stationary white Gaussian sequence as input to such models, their structure can be identified by considering the bispectrum of the output sequence. Simulation examples are included to illustrate the results of the paper.",

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year = "1994",

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AU - Emara-Shabaik, Hosam E.

AU - Moustafa, Kamal A.F.

AU - Talaq, Jaleel H.S.

PY - 1994

Y1 - 1994

N2 - In this paper, models composed of parallel branches of the Wiener-Hammerstein type are studied. Using a zero-mean stationary white Gaussian sequence as input to such models, their structure can be identified by considering the bispectrum of the output sequence. Simulation examples are included to illustrate the results of the paper.

AB - In this paper, models composed of parallel branches of the Wiener-Hammerstein type are studied. Using a zero-mean stationary white Gaussian sequence as input to such models, their structure can be identified by considering the bispectrum of the output sequence. Simulation examples are included to illustrate the results of the paper.

UR - https://www.scopus.com/pages/publications/0028727795

M3 - Paper

AN - SCOPUS:0028727795

SP - 1705

EP - 1709

ER -

On structure identification of parallel Wiener-Hammerstein models

Abstract

ASJC Scopus subject areas

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