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Generalizations of Cyclostationary Signal Processing: Spectral Analysis and Applications by Antonio Napolitano

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2.6 Discrete-Time Estimator of the Cyclic Cross-Correlation Function

In this section, the discrete-time cyclic cross-correlogram of the discrete-time process obtained by uniformly sampling a continuous-time GACS process is shown to be a mean-square consistent and asymptotically complex Normal estimator of the continuous-time cyclic cross-correlation function as the data-record length approaches infinity and the sampling period approaches zero (Napolitano 2009).

Note that the results of Section 2.6 for discrete-time processes cannot be obtained straightforwardly by substituting integrals with sums into the results of Sections 2.4.1 –2.4.3 which have been obtained for continuous-time processes as is made, in the stationary case, in (Brillinger and Rosenblatt 1967).

2.6.1 Discrete-Time Cyclic Cross-Correlogram

In this section, the discrete-time cyclic cross-correlogram is defined and its mean and covariance are evaluated for finite number of samples and sampling period.

Definition 2.6.1 Let yd(n) and xd(n) be the discrete-time processes defined in (2.172). Their discrete-time cyclic cross-correlogram (DT-CCC) at cycle frequency img is defined as

(2.181) equation

where

(2.182) equation

is a data-tapering ...

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