DocumentCode
1544449
Title
A normalized correlation estimator for complex data based on a quadruplex transformation
Author
Sullivan, Mark C. ; Wegman, Edward J.
Author_Institution
Information Syst. Lab. Inc., Vienna, VA, USA
Volume
4
Issue
1
fYear
1997
Firstpage
26
Lastpage
28
Abstract
The computational cost of estimating normalized correlations can be reduced by employing sums of simple nonlinear functions of the data. A quadruplex transformation is presented, and the performance of the associated estimator is analyzed for complex Gaussian processes. With independent observations, the variance of the estimator is approximately 14% higher than that of the conventional estimator.
Keywords
Gaussian processes; computational complexity; correlation methods; signal processing; statistical analysis; complex Gaussian processes; complex data; computational cost; independent observations; nonlinear functions; normalized correlation estimator; quadruplex transformation; signal processing; variance; Computational efficiency; Digital signal processors; Gaussian processes; Heart; Performance analysis; Process design; Signal design; Signal processing; Taylor series; Throughput;
fLanguage
English
Journal_Title
Signal Processing Letters, IEEE
Publisher
ieee
ISSN
1070-9908
Type
jour
DOI
10.1109/97.551693
Filename
551693
Link To Document