Title :
Spectral Relations for Multidimensional Complex Improper Stationary and (Almost) Cyclostationary Processes
Author :
Wahlberg, Patrik ; Schreier, Peter J.
Author_Institution :
Univ. of Newcastle, Callaghan
fDate :
4/1/2008 12:00:00 AM
Abstract :
We study continuous-time multidimensional wide- sense stationary (WSS) and (almost) cyclostationary processes in the frequency domain. Under the assumption that the correlation function is uniformly continuous, we prove the existence of a unique sequence of spectral measures, which coincide with the restrictions to certain subdiagonals of the spectral measure in the strongly harmonizable case. Moreover, the off-diagonal measures are absolutely continuous with respect to the diagonal measure. As a consequence, for strongly harmonizable scalar improper almost cyclostationary processes, we obtain representation formulas for the components of the complementary spectral measure and the off-diagonal components of the spectral measure, in terms of the diagonal component of the spectral measure. We apply these results to analytic signals, which produces sufficient conditions for propriety for almost cyclostationary analytic signals.
Keywords :
signal processing; spectral analysis; complementary spectral measure; continuous-time multidimensional wide-sense stationary process; correlation function; cyclostationary analytic signal; cyclostationary process; frequency domain; multidimensional complex improper stationary process; off-diagonal measure; spectral relation; Array signal processing; Baseband; Frequency domain analysis; Multidimensional signal processing; Multidimensional systems; Signal analysis; Signal processing; Statistics; Stochastic processes; Sufficient conditions; (Almost) cyclostationary processes; analytic signals; complementary correlation; harmonizable processes; improper processes; multidimensional processes; wide-sense stationary (WSS) processes;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2008.917626