COMPUTATIONAL ASPECTS OF SPECTRAL FACTORIZATION AND THE TANGENTIAL SCHUR ALGORITHM.

Tryphon T. Georgiou

doi:10.1109/cdc.1987.272502

COMPUTATIONAL ASPECTS OF SPECTRAL FACTORIZATION AND THE TANGENTIAL SCHUR ALGORITHM.

Tryphon T. Georgiou

Electrical and Computer Engineering

Research output: Contribution to journal › Conference article › peer-review

Abstract

Reference is made to previous work in which the author used the Schur algorithm as a means to achieve spectral factorization. Here the Schur algorithm is investigated in the context of the tangential Nevanlinna-Pick problem. This provides a computationally simple scheme for spectral factorization of matrix-valued functions.

Original language	English (US)
Pages (from-to)	805-810
Number of pages	6
Journal	Proceedings of the IEEE Conference on Decision and Control
DOIs	https://doi.org/10.1109/cdc.1987.272502
State	Published - 1987

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10.1109/cdc.1987.272502

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title = "COMPUTATIONAL ASPECTS OF SPECTRAL FACTORIZATION AND THE TANGENTIAL SCHUR ALGORITHM.",

abstract = "Reference is made to previous work in which the author used the Schur algorithm as a means to achieve spectral factorization. Here the Schur algorithm is investigated in the context of the tangential Nevanlinna-Pick problem. This provides a computationally simple scheme for spectral factorization of matrix-valued functions.",

author = "Georgiou, {Tryphon T.}",

year = "1987",

doi = "10.1109/cdc.1987.272502",

language = "English (US)",

pages = "805--810",

journal = "Proceedings of the IEEE Conference on Decision and Control",

issn = "0191-2216",

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

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AU - Georgiou, Tryphon T.

PY - 1987

Y1 - 1987

N2 - Reference is made to previous work in which the author used the Schur algorithm as a means to achieve spectral factorization. Here the Schur algorithm is investigated in the context of the tangential Nevanlinna-Pick problem. This provides a computationally simple scheme for spectral factorization of matrix-valued functions.

AB - Reference is made to previous work in which the author used the Schur algorithm as a means to achieve spectral factorization. Here the Schur algorithm is investigated in the context of the tangential Nevanlinna-Pick problem. This provides a computationally simple scheme for spectral factorization of matrix-valued functions.

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DO - 10.1109/cdc.1987.272502

M3 - Conference article

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SN - 0191-2216

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EP - 810

JO - Proceedings of the IEEE Conference on Decision and Control

JF - Proceedings of the IEEE Conference on Decision and Control

ER -

COMPUTATIONAL ASPECTS OF SPECTRAL FACTORIZATION AND THE TANGENTIAL SCHUR ALGORITHM.

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