In this paper, we present a duality between two problems: the reconstruction of the angular
periodogram from spatial-domain signals received at different time indices and that of the …

In this paper, two problems that show great similarities are examined. The first problem is the
reconstruction of the angular-domain periodogram from spatial-domain signals received at …

In order to exploit the inherent cyclostationary properties which vary periodically in most man-
made signals, one prerequisite is the knowledge of the signal's cyclic autocorrelation (CA) …

We introduce a new cyclic spectrum estimation method for wide-sense cyclostationary
(WSCS) signals sampled at sub-Nyquist rate using non-uniform sampling. We exploit the …

This paper focuses on the reconstruction of second order statistics of signals under a
compressive sensing framework, which can be useful in many detection problems. More …

A new approach for sparse nonstationary signal reconstruction based on multiple windows
is introduced. Signals which are localizable in the time-frequency (TF) domain give rise to …

Compressive sensing (CS) has successfully been applied to reconstruct sparse signals and
images from few observations. For multi-component nonstationary signals characterized by …

The complex-time distributions has been used as an important time-frequency tool for the
analysis of signals characterized by the fast-varying instantaneous frequency. However, in …

Increased demand on spectrum sensing over a broad frequency band requires a high
sampling rate and thus leads to a prohibitive volume of data samples. In some applications …

The random demodulator (RD) and the modulated wideband converter (MWC) are two
recently proposed compressed sensing (CS) techniques for the acquisition of continuous …