DocumentCode
3510792
Title
Prefiltering for higher order advantage
Author
Ioup, George E. ; Pflug, Lisa A. ; Ioup, Juliette W. ; Field, Robert L.
Author_Institution
Dept. of Phys., New Orleans Univ., LA, USA
fYear
1993
fDate
1993
Firstpage
309
Lastpage
313
Abstract
Prefiltering, or limiting the spectral domain of data, improves maximum magnitude correlation peak detectors, both ordinary and higher order, for known and unknown sources. The only exception is the matched filter, which intrinsically contains prefiltering. For the cases studied, prefiltering generally has a higher order advantage, i.e., for higher order and in higher dimensions, it is even more effective than in one dimension for the ordinary correlation. Geometrical considerations can give some insight into this advantage. The tricorrelation detector with prefiltering performs best for all eight tested signals in the unknown source tests, and is the best detector for seven of the eight signals in the known source tests. Prefiltering for higher order correlation detectors involves only one-dimensional filtering and so is computationally efficient.
Keywords
correlation methods; filtering and prediction theory; signal detection; geometrical considerations; higher order correlation detectors; matched filter; maximum magnitude correlation peak detectors; one-dimensional filtering; prefiltering; source tests; spectral domain; tested signals; tricorrelation detector; Bandwidth; Detectors; Laboratories; Limiting; Matched filters; Passband; Physics; Signal processing; Signal to noise ratio; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Higher-Order Statistics, 1993., IEEE Signal Processing Workshop on
Conference_Location
South Lake Tahoe, CA, USA
Print_ISBN
0-7803-1238-4
Type
conf
DOI
10.1109/HOST.1993.264546
Filename
264546
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