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 …

This paper derives an asymptotic generalized likelihood ratio test (GLRT) and an asymptotic
locally most powerful invariant test (LMPIT) for two hypothesis testing problems: 1) Is a …

In this paper, we study the distributed energy-based detectors for spectrum sensing in
cognitive radio networks. We assume that the sensing channel includes both small-scale …

This letter proposes a correlation detection algorithm based on multi-channelization. The
existing method has poor performance for detecting a time-varying signal with a low signal …

In spectrum sensing for cognitive radio, the presence of a primary user can be detected by
making use of the cyclostationarity property of digital communication signals. For the general …

The problem is to detect a multi-dimensional source transmitting an unknown sequence of
complex-valued symbols to a multi-sensor array. In some cases the channel subspace is …

The Cognitive Radio is a smart wireless communication system that provides awareness
about the radio frequency spectrum of its surroundings and rapidly reconfigures its operating …

This paper explores the asymptotic spectral decomposition of periodically Toeplitz matrices
with finite summable elements. As an alternative to polyphase decomposition and other …

This paper extends various theoretical results from stationary data processing to
cyclostationary (CS) processes under a unified framework. We first derive their asymptotic …

We derive an estimator of the cycle period of a univariate cyclostationary process based on
an information-theoretic criterion. Transforming the univariate cyclostationary process into a …