Extraction of almost periodic signals using cyclostationarity

Extraction of almost periodic signals from their noisy observations is accomplished by exploiting cyclostationarity. The additive noise is allowed to be generally cyclostationary with unknown distribution. Consistency of the proposed estimators is proved and their asymptotic properties are presented. Further, adaptive algorithms are employed for tracking possible time-variations in the parameters of the almost periodic signal. Finally, the proposed methods are tested via simulations.<<ETX>>