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