We consider the problem of recovering block-sparse signals whose cluster patterns are
unknown a priori. Block-sparse signals with nonzero coefficients occurring in clusters arise …

In recent years, the Internet of Things (IoT) paradigm has gained much popularity due to its
potential ability to integrate the physical world with the digital world. However, this digital …

The evolving 5G and beyond 5G (B5G) wireless technologies are envisioned to provide
ubiquitous connectivity and great heterogeneity in communication infrastructure by …

The Pietra-Ricci index is often used in economic and social sciences as a measure of
inequality. In this Correspondence, the index is adapted to the cooperative spectrum …

The Gerschgorin circle theorem was recently applied to build two detectors for the purpose
of spectrum sensing in cognitive radio applications, the so-called Gerschgorin radius-based …

In this article, a technique for cooperative spectrum sensing (CSS) using the Extreme
Learning Machine (ELM) is proposed. ELMs are feedforward neural networks where the …

Noise uncertainty can severely deteriorate a primary user (PU) detector's sensing
performance, so robustness against the noise uncertainty is of fundamental significance in …

The Gini index is a statistical dispersion metric widely used in economic and social sciences
to measure inequalities. In this Letter, it is used to build the novel Gini index detector (GID) …

We investigate the spectrum sensing problem in a single-input-multiple-output cognitive
radio system under in-phase and quadrature imbalance (IQI). To do this, the received signal …

Cognitive radio (CR) has been classified as a promising technology which can significantly
mitigate the impact of spectrum underutilization and spectrum scarceness arising from …