NDLI: Spherical subspace tracking: analysis, convergence and detection schemes

Content Provider	IEEE Xplore Digital Library
Author	DeGroat, R.D. Dowling, E.M.
Copyright Year	1992
Description	Author affiliation: Texas Univ., Dallas, Richardson, TX, USA (DeGroat, R.D.; Dowling, E.M.)
Abstract	Some of the properties and applications of spherical subspace updating are described. A proof of convergence for the two-level spherical update is briefly summarized and discussed. Square root (SVD) versions of the spherical update are developed, and multilevel updates are introduced. A minimum description length (MDL) detection scheme is developed based on a four-level spherical update. The four-level MDL detection performance is virtually identical with the performance of full eigenstructure based MDL. However, the four-level spherical update is noniterative and much less complex than full eigen updating, i.e., O(nr) versus O(n/sup 3/), where n is the data dimension and r is the size of the dominant (signal) subspace.
Starting Page	561
Ending Page	565
File Size	387157
Page Count	5
File Format	PDF
ISBN	0818631600
ISSN	10586393
DOI	10.1109/ACSSC.1992.269209
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1992-10-26
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Convergence Eigenvalues and eigenfunctions Matrix decomposition Computer science Noise robustness Stochastic resonance Computational modeling Multiple signal classification Least squares methods White noise
Content Type	Text
Resource Type	Article
Subject	Signal Processing Computer Networks and Communications

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