Block-Toeplitz/Hankel structured total least squares

A multivariate structured total least squares problem is considered, in which the extended data matrix is partitioned into blocks and each of the blocks is block-Toeplitz/Hankel structured, unstructured, or noise free. An equivalent optimization problem is derived and its properties are established....

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Bibliographic Details
Main Authors: Markovsky, I. (Author), Van Huffel, S. (Author), Pintelon, R. (Author)
Format: Article
Language:English
Published: 2005.
Subjects:
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LEADER 01270 am a22001693u 4500
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042 |a dc 
100 1 0 |a Markovsky, I.  |e author 
700 1 0 |a Van Huffel, S.  |e author 
700 1 0 |a Pintelon, R.  |e author 
245 0 0 |a Block-Toeplitz/Hankel structured total least squares 
260 |c 2005. 
856 |z Get fulltext  |u https://eprints.soton.ac.uk/263298/1/stls_block_published.pdf 
856 |z Get fulltext  |u https://eprints.soton.ac.uk/263298/2/stls_block_answer.pdf 
856 |z Get fulltext  |u https://eprints.soton.ac.uk/263298/3/stls_block_answer2.pdf 
520 |a A multivariate structured total least squares problem is considered, in which the extended data matrix is partitioned into blocks and each of the blocks is block-Toeplitz/Hankel structured, unstructured, or noise free. An equivalent optimization problem is derived and its properties are established. The special structure of the equivalent problem enables to improve the computational efficiency of the numerical solution via local optimization methods. By exploiting the structure, the computational complexity of the algorithms per iteration is linear in the sample size. Application of the method for system identification and for model reduction is illustrated by simulation examples. 
655 7 |a Article