High-performance numerical algorithms and software for structured total least squares
Markovsky, I. and Van Huffel, S. (2005) High-performance numerical algorithms and software for structured total least squares. Journal of Computational and Applied Mathematics, 180, (2), 311-331.
We present a software package for structured total least squares approximation problems. The allowed structures in the data matrix are block-Toeplitz, block-Hankel, unstructured, and exact. Combination of blocks with these structures can be specified. The computational complexity of the algorithms is O(m), where m is the sample size. We show simulation examples with different approximation problems. Application of the method for multivariable system identification is illustrated on examples from the database for identification of systems DAISY.
|Keywords:||Numerical linear algebra; Parameter estimation; Structured total least squares; Deconvolution; System identification.|
|Divisions:||Faculty of Physical and Applied Science > Electronics and Computer Science > Comms, Signal Processing & Control
|Date Deposited:||06 Jan 2007|
|Last Modified:||02 Mar 2012 12:59|
|Contributors:||Markovsky, I. (Author)
Van Huffel, S. (Author)
|Further Information:||Google Scholar|
|ISI Citation Count:||8|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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