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On weighted structured total least squares

On weighted structured total least squares
On weighted structured total least squares
In this contribution we extend the result of (Markovsky et. al, SIAM J. of Matrix Anal. and Appl., 2005) to the case of weighted cost function. It is shown that the computational complexity of the proposed algorithm is preserved linear in the sample size when the weight matrix is banded with bandwidth that is independent of the sample size.
Total least squares, weighted and structured total least squares, algorithm development.
695-702
Springer
Markovsky, Ivan
7d632d37-2100-41be-a4ff-90b92752212c
Van Huffel, Sabine
8814fa15-3922-4a5a-9ba5-c2ea63ceeaf7
Lirkov, I.
Margenov, S.
Wasniewski, J.
Markovsky, Ivan
7d632d37-2100-41be-a4ff-90b92752212c
Van Huffel, Sabine
8814fa15-3922-4a5a-9ba5-c2ea63ceeaf7
Lirkov, I.
Margenov, S.
Wasniewski, J.

Markovsky, Ivan and Van Huffel, Sabine (2006) On weighted structured total least squares. In, Lirkov, I., Margenov, S. and Wasniewski, J. (eds.) Lecture notes in computer science, Volume 3743. Springer, pp. 695-702.

Record type: Book Section

Abstract

In this contribution we extend the result of (Markovsky et. al, SIAM J. of Matrix Anal. and Appl., 2005) to the case of weighted cost function. It is shown that the computational complexity of the proposed algorithm is preserved linear in the sample size when the weight matrix is banded with bandwidth that is independent of the sample size.

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More information

Published date: 2006
Keywords: Total least squares, weighted and structured total least squares, algorithm development.
Organisations: Southampton Wireless Group

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Local EPrints ID: 263491
URI: http://eprints.soton.ac.uk/id/eprint/263491
PURE UUID: 59c20df7-3c0d-4ebe-a69a-094b911c2d5a

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Date deposited: 19 Feb 2007
Last modified: 14 Mar 2024 07:33

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Contributors

Author: Ivan Markovsky
Author: Sabine Van Huffel
Editor: I. Lirkov
Editor: S. Margenov
Editor: J. Wasniewski

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