Water covers 71% of the Earth's surface, where the steady increase in oceanic activities has
promoted the need for reliable maritime communication technologies. The existing maritime …

Over the past few years, the modeling of wireless channels for radio wave propagation over
the sea surface has drawn the attention of many researchers. Channel models are designed …

Recently, broadband maritime communication has attracted much attention due to the rapid
development of blue economy. In addition to the conventional MF/HF/VHF bands, there has …

We consider the application of compressed sensing (CS) to the estimation of doubly
selective channels within pulse-sha** multicarrier systems (which include orthogonal …

This paper addresses the problem of estimating sparse channels in massive MIMO-OFDM
systems. Most wireless channels are sparse in nature with large delay spread. In addition …

This paper presents a novel compressed sensing (CS) approach to high dimensional
wireless channel estimation by optimizing the input to a deep generative network. Channel …

The advances in underwater sensor communication has become imperative getting up-to-
date information about underwater happenings, especially when world has already faced …

With the development of high-speed trains (HSTs) in many countries, providing broadband
wireless services in HSTs is crucial. Orthogonal frequency-division multiplexing (OFDM) has …

Orthogonal frequency-division multiplexing (OFDM) is widely adopted for providing reliable
and high-data-rate communication in high-speed train (HST) systems. However, with …

We present a compressive sensing video acquisition scheme that relies on the sparsity
properties of video in the spatial domain. In this scheme, the video sequence is represented …