2-D system identification from bispectrum samples

A. David Salvia; Hector M. Valenzuela

doi:10.1109/ICASSP.1992.226232

2-D system identification from bispectrum samples

A. David Salvia, Hector M. Valenzuela

School of Electrical Engineering and Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

In this paper we consider the problem of modeling 2-D system transfer functions given only bispectrum samples of the noisy output. This identification procedure is a three step process. First, the output bispectrum samples are calculated along a 2-D "slice" in the 4-D bispectrum frequency region. Next, these samples are used to obtain a rational model of the bispectrum slice via a 2-D divided difference approach. Finally, we develop two methods for finding the underlying system transfer function parameters bom this rational model. This system identification procedure is general in that it does not impose causality, recursibility, or minimum phase restrictions on the system to be identified.

Original language	English (US)
Title of host publication	ICASSP 1992 - 1992 International Conference on Acoustics, Speech, and Signal Processing
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	337-340
Number of pages	4
ISBN (Electronic)	0780305329
DOIs	https://doi.org/10.1109/ICASSP.1992.226232
State	Published - 1992
Event	1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1992 - San Francisco, United States Duration: Mar 23 1992 → Mar 26 1992

Publication series

Name	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume	3
ISSN (Print)	1520-6149

Other

Other	1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1992
Country/Territory	United States
City	San Francisco
Period	3/23/92 → 3/26/92

All Science Journal Classification (ASJC) codes

Software
Signal Processing
Electrical and Electronic Engineering

Access to Document

10.1109/ICASSP.1992.226232

Cite this

David Salvia, A., & Valenzuela, H. M. (1992). 2-D system identification from bispectrum samples. In ICASSP 1992 - 1992 International Conference on Acoustics, Speech, and Signal Processing (pp. 337-340). Article 226232 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 3). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSP.1992.226232

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title = "2-D system identification from bispectrum samples",

abstract = "In this paper we consider the problem of modeling 2-D system transfer functions given only bispectrum samples of the noisy output. This identification procedure is a three step process. First, the output bispectrum samples are calculated along a 2-D {"}slice{"} in the 4-D bispectrum frequency region. Next, these samples are used to obtain a rational model of the bispectrum slice via a 2-D divided difference approach. Finally, we develop two methods for finding the underlying system transfer function parameters bom this rational model. This system identification procedure is general in that it does not impose causality, recursibility, or minimum phase restrictions on the system to be identified.",

author = "{David Salvia}, A. and Valenzuela, {Hector M.}",

note = "Publisher Copyright: {\textcopyright} 1992 IEEE.; 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1992 ; Conference date: 23-03-1992 Through 26-03-1992",

year = "1992",

doi = "10.1109/ICASSP.1992.226232",

language = "English (US)",

series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "337--340",

booktitle = "ICASSP 1992 - 1992 International Conference on Acoustics, Speech, and Signal Processing",

address = "United States",

}

David Salvia, A & Valenzuela, HM 1992, 2-D system identification from bispectrum samples. in ICASSP 1992 - 1992 International Conference on Acoustics, Speech, and Signal Processing., 226232, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, vol. 3, Institute of Electrical and Electronics Engineers Inc., pp. 337-340, 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1992, San Francisco, United States, 3/23/92. https://doi.org/10.1109/ICASSP.1992.226232

2-D system identification from bispectrum samples. / David Salvia, A.; Valenzuela, Hector M.
ICASSP 1992 - 1992 International Conference on Acoustics, Speech, and Signal Processing. Institute of Electrical and Electronics Engineers Inc., 1992. p. 337-340 226232 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 3).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - 2-D system identification from bispectrum samples

AU - David Salvia, A.

AU - Valenzuela, Hector M.

PY - 1992

Y1 - 1992

N2 - In this paper we consider the problem of modeling 2-D system transfer functions given only bispectrum samples of the noisy output. This identification procedure is a three step process. First, the output bispectrum samples are calculated along a 2-D "slice" in the 4-D bispectrum frequency region. Next, these samples are used to obtain a rational model of the bispectrum slice via a 2-D divided difference approach. Finally, we develop two methods for finding the underlying system transfer function parameters bom this rational model. This system identification procedure is general in that it does not impose causality, recursibility, or minimum phase restrictions on the system to be identified.

AB - In this paper we consider the problem of modeling 2-D system transfer functions given only bispectrum samples of the noisy output. This identification procedure is a three step process. First, the output bispectrum samples are calculated along a 2-D "slice" in the 4-D bispectrum frequency region. Next, these samples are used to obtain a rational model of the bispectrum slice via a 2-D divided difference approach. Finally, we develop two methods for finding the underlying system transfer function parameters bom this rational model. This system identification procedure is general in that it does not impose causality, recursibility, or minimum phase restrictions on the system to be identified.

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U2 - 10.1109/ICASSP.1992.226232

DO - 10.1109/ICASSP.1992.226232

M3 - Conference contribution

AN - SCOPUS:84885482368

T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

SP - 337

EP - 340

BT - ICASSP 1992 - 1992 International Conference on Acoustics, Speech, and Signal Processing

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1992

Y2 - 23 March 1992 through 26 March 1992

ER -

David Salvia A, Valenzuela HM. 2-D system identification from bispectrum samples. In ICASSP 1992 - 1992 International Conference on Acoustics, Speech, and Signal Processing. Institute of Electrical and Electronics Engineers Inc. 1992. p. 337-340. 226232. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). doi: 10.1109/ICASSP.1992.226232

2-D system identification from bispectrum samples

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