DocumentCode
2128778
Title
The generalization of the Wiener-Khinchin theorem
Author
Cohen, Leon
Author_Institution
City Univ. of New York, NY, USA
Volume
3
fYear
1998
fDate
12-15 May 1998
Firstpage
1577
Abstract
We generalize the Wiener-Khinchin theorem. A full generalization is presented where both the autocorrelation function and power spectral density are defined in terms of a general basis set. In addition, we present a partial generalization where the density is the Fourier transform of the autocorrelation function but the autocorrelation function is defined in terms of an arbitrary basis set. Both the deterministic and random cases are considered
Keywords
Fourier transforms; correlation methods; mathematical operators; random processes; signal processing; spectral analysis; Fourier transform density; Wiener-Khinchin theorem generalization; autocorrelation function; characteristic function operator; deterministic signals; full generalization; general basis set; partial generalization; power spectral density; random signals; signal analysis; Autocorrelation; Contracts; Educational institutions; Fourier transforms; Frequency; NASA; Signal analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on
Conference_Location
Seattle, WA
ISSN
1520-6149
Print_ISBN
0-7803-4428-6
Type
conf
DOI
10.1109/ICASSP.1998.681753
Filename
681753
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