DocumentCode :
2640239
Title :
Detection issues over multiresolution subspaces
Author :
Erdol, Nurgun ; Bao, Fag
Author_Institution :
Dept. of Electr. Eng., Florida Atlantic Univ., Boca Raton, FL, USA
Volume :
2
fYear :
1998
fDate :
1-4 Nov. 1998
Firstpage :
1374
Abstract :
In this article we extend our earlier work and explore rigorously the environment supported by multiresolution subspaces. Specifically, we obtain the relationships between Karhunen-Loeve (KL) bases derived from the projections of signals onto subspaces and sums of subspaces; derive the detectability measures over subspaces and discuss detection strategies from the view point of maximizing detectability. The purpose of this paper is to establish the rules for optimal detection over multiresolution subspaces. It is expected that the theory developed will be useful in developing strategies for optimal and sub-optimal detectors.
Keywords :
Gaussian noise; optimisation; signal detection; signal resolution; wavelet transforms; KL bases; Karhunen-Loeve bases; additive Gaussian noise; detectability measures; multiresolution subspaces; optimal detection; optimal detectors; signal detection; signal projections; sub-optimal detectors; wavelets; Additive noise; Artificial intelligence; Eigenvalues and eigenfunctions; Gaussian noise; Gold; Matched filters; Multiresolution analysis; Signal resolution; Statistics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems & Computers, 1998. Conference Record of the Thirty-Second Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
ISSN :
1058-6393
Print_ISBN :
0-7803-5148-7
Type :
conf
DOI :
10.1109/ACSSC.1998.751551
Filename :
751551
Link To Document :
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