Matrix Methods for Estimating the Coherence Functions from Estimates of the Cross-Spectral Density Matrix
Abstract
It is shown that the usual method for estimating the coherence functions (ordinary, partial, and multiple) for a general multiple-input! multiple-output problem can be expressed as a modified form of Cholesky decomposition of the cross-spectral density matrix of the input and output records. The results can be equivalently obtained using singular value decomposition (SVD) of the cross-spectral density matrix. Using SVD suggests a new form of fractional coherence. The formulation as a SVD problem also suggests a way to order the inputs when a natural physical order of the inputs is absent.
- Authors:
-
- Mechanical and Thermal Environments Department, 9735 Sandia National Laboratories Albuquerque, NM 87185-0557, USA
- Publication Date:
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1198213
- Grant/Contract Number:
- AC04-94AL85000
- Resource Type:
- Published Article
- Journal Name:
- Shock and Vibration
- Additional Journal Information:
- Journal Name: Shock and Vibration Journal Volume: 3 Journal Issue: 4; Journal ID: ISSN 1070-9622
- Publisher:
- Hindawi Publishing Corporation
- Country of Publication:
- Egypt
- Language:
- English
Citation Formats
Smallwood, D. O. Matrix Methods for Estimating the Coherence Functions from Estimates of the Cross-Spectral Density Matrix. Egypt: N. p., 1996.
Web. doi:10.1155/1996/963607.
Smallwood, D. O. Matrix Methods for Estimating the Coherence Functions from Estimates of the Cross-Spectral Density Matrix. Egypt. https://doi.org/10.1155/1996/963607
Smallwood, D. O. Mon .
"Matrix Methods for Estimating the Coherence Functions from Estimates of the Cross-Spectral Density Matrix". Egypt. https://doi.org/10.1155/1996/963607.
@article{osti_1198213,
title = {Matrix Methods for Estimating the Coherence Functions from Estimates of the Cross-Spectral Density Matrix},
author = {Smallwood, D. O.},
abstractNote = {It is shown that the usual method for estimating the coherence functions (ordinary, partial, and multiple) for a general multiple-input! multiple-output problem can be expressed as a modified form of Cholesky decomposition of the cross-spectral density matrix of the input and output records. The results can be equivalently obtained using singular value decomposition (SVD) of the cross-spectral density matrix. Using SVD suggests a new form of fractional coherence. The formulation as a SVD problem also suggests a way to order the inputs when a natural physical order of the inputs is absent.},
doi = {10.1155/1996/963607},
journal = {Shock and Vibration},
number = 4,
volume = 3,
place = {Egypt},
year = {Mon Jan 01 00:00:00 EST 1996},
month = {Mon Jan 01 00:00:00 EST 1996}
}
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Publisher's Version of Record
https://doi.org/10.1155/1996/963607
https://doi.org/10.1155/1996/963607
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Cited by: 5 works
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