On structure identification of parallel Wiener-Hammerstein models
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 il...
Saved in:
| Main Author: | Emara-Shabaik, H.E. (author) |
|---|---|
| Other Authors: | Moustafa, K.A.F. (author), Talaq, J.H.S. (author), unknown (author) |
| Format: | article |
| Published: |
1994
|
| Subjects: | |
| Online Access: | https://eprints.kfupm.edu.sa/id/eprint/14658/1/14658_1.pdf https://eprints.kfupm.edu.sa/id/eprint/14658/2/14658_2.doc |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Wiener-Hammerstein Model Identification-Recursive lgorithms
by: Emara-Shabaik, Husam
Published: (2020) -
Parameter Estimation Of Wiener-Hammerstein Models
by: Shabaik, Emara
Published: (2020) -
Parameter Estimation Of Wiener-Hammerstein Models Via Genetic Algorithms
by: Emara-Shabaik, Husam
Published: (2020) -
Parameter estimation in Wiener-Hammerstein models.
by: Al-Ajmi, Khaled Husain
Published: (1999) -
-Non-Parametric Identification Of Generalized Hammerstein Models
by: Emara-Shabaik, Husam
Published: (2020)