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- W1444732039 abstract "This chapter introduces the class of second-order generalized almost- cyclostationary signals in the classical stochastic approach. Time series belonging to this class are characterized by multivariate statistical functions that are almost- periodic functions of time whose Fourier series expansions can exhibit coefficients and frequencies depending on the lag shifts of the time series. The union over all the lag shifts of the lag-dependent frequency sets is not necessarily countable. Generalized cyclic moment and cumulant functions (in both time and frequency domains) are introduced and relationships among them are stated. Almost-cyclostationary (ACS) time series turn out to be the subclass of generalized almost-cyclostationary (GACS) time series for which the frequencies do not depend on the lag shifts and the union of the previously-mentioned sets is countable. This chapter discusses that the expresses time-frequency representations for GACS signals in terms of generalized cyclic statistics." @default.
- W1444732039 created "2016-06-24" @default.
- W1444732039 creator A5031999830 @default.
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- W1444732039 date "2005-01-01" @default.
- W1444732039 modified "2023-09-27" @default.
- W1444732039 title "Generalized Almost-Cyclostationary Signals" @default.
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- W1444732039 doi "https://doi.org/10.1016/s1076-5670(04)35003-2" @default.
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