DocumentCode :
3096627
Title :
Spectral characterization of n-th order cyclostationarity
Author :
Gardner, William
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., California Univ., Davis, CA, USA
fYear :
1990
fDate :
10-12 Oct. 1990
Firstpage :
251
Lastpage :
255
Abstract :
The spectral characterization of second-order (or wide-sense) cyclostationarity gives rise to a generalization of the Wiener relation between the power spectral density and the autocorrelation associated with second-order stationary time-series. This generalization, called the cyclic Wiener relation, is a Fourier transform relation between the spectral autocorrelation function and the cyclic temporal autocorrelation function, both defined in terms of time averages on a single time-series. The spectral characterization is generalized from second-order cyclostationarity to n-th order cyclostationarity for n=2,3,4,5,. . ., and some basic properties of the generalised spectral characterization are presented. These include a further generalization of the Wiener relation, called the n-th order cyclic Wiener relation, which relates the n-th order joint cyclic temporal moment function to the n-th order joint spectral moment function.<>
Keywords :
correlation theory; signal processing; spectral analysis; time series; Fourier transform relation; cyclic Wiener relation; cyclic temporal autocorrelation function; n-th order cyclic Wiener relation; n-th order cyclostationarity; second-order stationary time-series; signal processing; spectral autocorrelation function; spectral characterisation; Autocorrelation; Bandwidth; Character recognition; Density functional theory; Filtering; Fourier transforms; Frequency; Parameter estimation; Roentgenium; Signal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Spectrum Estimation and Modeling, 1990., Fifth ASSP Workshop on
Conference_Location :
Rochester, NY, USA
Type :
conf
DOI :
10.1109/SPECT.1990.205585
Filename :
205585
Link To Document :
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