DocumentCode
791966
Title
Estimating spectral correlations with simple nonlinear transformations
Author
Sullivan, Mark C. ; Wegman, Edward J.
Author_Institution
Eng. Res. Assoc., Vienna, VA, USA
Volume
43
Issue
6
fYear
1995
fDate
6/1/1995 12:00:00 AM
Firstpage
1525
Lastpage
1526
Abstract
Two computationally efficient cyclic spectral analysis algorithms are compared using a computer simulation. Each algorithm replaces multiplications with sign changes and multiplexing operations. Compared with conventional frequency smoothing estimators, the quadruplex and one bit spectral correlation algorithms suffered losses in output signal to noise ratio of approximately 0.6 dB and 1.9 dB, respectively
Keywords
Gaussian processes; correlation methods; smoothing methods; spectral analysis; Gaussian process; computer simulation; cyclic spectral analysis algorithms; multiplexing operations; nonlinear transformations; one bit spectral correlation algorithms; output signal to noise ratio; quadruplex spectral correlation algorithm; sign changes; signal detection; spectral correlations estimation; Computational efficiency; Computational modeling; Computer simulation; Frequency estimation; Gaussian processes; Signal analysis; Signal processing algorithms; Signal to noise ratio; Smoothing methods; Spectral analysis;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/78.388870
Filename
388870
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