In this paper, a concise survey of the literature on cyclostationarity is presented and includes
an extensive bibliography. The literature in all languages, in which a substantial amount of …

This paper presents a hierarchical hypothesis test and a feature-based blind modulation
classification (BMC) algorithm for linearly modulated signals. The proposed BMC method is …

Processes encountered in statistical signal processing, communications, and time series
analysis applications are often assumed stationary. The plethora of available algorithms …

In radio monitoring and target location applications, the received signals are often affected
by complex electromagnetic environment, such as impulsive noise and cochannel …

The present bibliography represents a comprehensive list of references on cyclostationarity
and its applications. An attempt has been made to make this bibliography complete by listing …

Estimation of the basic frequency (non-stationarity period) of periodically correlated random
processes (PCRPs)–the mathematical model of hidden periodicity–by the least squares (LS) …

In recent years an abundance of technical papers and books have been written on several
topics of radar signal processing. The detection of radar targets against ground and sea …

The last fifteen years have witnessed a tremendous resurgence in research and applications
in the area of higher-order statistics (HOS), a broad term encompassing statistical …

This paper presents the design and testbed implementation of a tree-based algorithm, which
classifies many of the linearly modulated signals, such as binary phase-shift keying (PSK) …

The authors consider modelling and estimating the texture in high resolution non-Gaussian
sea clutter. Cyclostationarity of sea clutter is investigated and validated by processing …