Title :
Structured total least squares with fixed elements
Author :
Lemos, Rodrigo Pinto ; Lopes, Amauri
Author_Institution :
Sch. of Electr. Eng, Fed. Univ. of Goias, Brazil
Abstract :
In this paper, we propose the association of the structured total least squares method to the unstructured total least squares method with some elements of the augmented data matrix kept fixed during the optimization process. This association yields a structured total least squares method with fixed elements. This method allows us to treat problems with a great deal of structure, such as sparse problems, as well as to keep exact data intact during the optimization
Keywords :
least squares approximations; optimisation; sparse matrices; augmented data matrix; fixed elements; optimization process; sparse problems; structured total least squares; Computational efficiency; Ear; Least squares approximation; Least squares methods; Matrix decomposition; Maximum likelihood estimation; Multidimensional systems; Optimization methods; Signal resolution; Sparse matrices;
Conference_Titel :
Circuits and Systems, 1997. Proceedings of the 40th Midwest Symposium on
Conference_Location :
Sacramento, CA
Print_ISBN :
0-7803-3694-1
DOI :
10.1109/MWSCAS.1997.662205
