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 …

A concise survey of the literature on cyclostationarity of the last 10 years is presented and an
extensive bibliography included. The problems of statistical function estimation, signal …

In this paper, a system for automatically recognizing radar waveforms is introduced. This
type of techniques are needed in various spectrum management, surveillance and cognitive …

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 …

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 …

Blind recognition of communication parameters is a research topic of high importance for
both military and civilian communication systems. Numerous studies about carrier frequency …

Modulation classification is an intermediate step between signal detection and
demodulation, and plays a key role in various civilian and military applications. In this …

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) …

The majority of the nonlinearity in a communication system is attributed to the power
amplifier (PA) present at the final stage of the transmitter chain. In this paper, we consider …

A novel comprehensive classification system is proposed for recognizing the orthogonal
frequency division multiplexing (OFDM) signal and extracting its parameters. An empirical …