The radio spectrum is the radio-frequency (RF) portion of the electromagnetic spectrum.
These spectral resources are traditionally allocated to licensed or primary users (PUs) by …

Sinusoid signals with multiple frequencies appear in various systems and their frequencies
may carry some important features. Frequency estimation from their discrete samples is one …

Modern methods of digital signal processing are based not only on equidistant
discretization. The methods of non-uniform discretization, including periodically non-uniform …

Weighted Periodic Nonuniform Sampling (WPNS) for Digital Alias-free Signal Processing is
redesigned for the signal processing tasks such as spectrum estimation. The work is a direct …

Enabling cognitive radio (CR) requires revisiting the traditional task of spectrum sensing with
specific and demanding requirements in terms of detection performance, real-time …

Covariance estimation from compressive samples has become particularly attractive for two
main reasons. First, many applications do not require the signal itself, and second-order …

This thesis aims at developing a new methodology of filtering continuous-time bandlimited
signals and piecewise-continuous signals from their discrete-time samples. Unlike the …

BACKGROUND A variety of signal sampling techniques are known. Tra ditional uniform
sampling techniques often limit the maxi mum frequency of the signal that can be recovered …

In this paper, we present a method of reconstructing multiband signals with arbitrary
Spectrum Support Function (SSF). The signal reconstruction method consists in the theorem …

Weighted Periodic Nonuniform Sampling (WPNS) for Digital Alias-free Signal Processing is
analysed. The methodology of measuring the level of aliasing within the required range of …