DocumentCode :
2085829
Title :
Subspace tracking using a constrained hyperbolic URV decomposition
Author :
Van der Veen, Alle-Jan
Author_Institution :
Dept. of Electr. Eng., Delft Univ. of Technol., Netherlands
Volume :
4
fYear :
1998
fDate :
12-15 May 1998
Firstpage :
1953
Abstract :
The class of Schur subspace estimators provides a parametrization of all minimal-rank matrix approximants that lie within a specified distance of a given matrix, and in particular gives expressions for the column spans of these approximants. In this paper, we derive an updating algorithm for an interesting member of the class, making use of a constrained hyperbolic URV-like decomposition
Keywords :
adaptive estimation; adaptive signal processing; approximation theory; matrix algebra; tracking; Schur subspace estimators; column spans; constrained hyperbolic URV decomposition; minimal-rank matrix approximants; parametrization; updating algorithm; Adaptive signal processing; Array signal processing; Blind source separation; Covariance matrix; Eigenvalues and eigenfunctions; Matrix decomposition; Sensor arrays; Sensor systems; Signal processing algorithms; Subspace constraints;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on
Conference_Location :
Seattle, WA
ISSN :
1520-6149
Print_ISBN :
0-7803-4428-6
Type :
conf
DOI :
10.1109/ICASSP.1998.681446
Filename :
681446
Link To Document :
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