Orthogonal Matching Pursuit (OMP) is an important compressive sensing (CS) recovery and
sparsity inducing algorithm, which has potential in various emerging applications ranging …

As a solution to the thorny problem of the acquisition of separate channels with the presence
of the passive reconfigurable intelligent surface (RIS), the hybrid RIS architecture with …

Image reconstruction is an important research topic in the field of multimedia processing. It
aims to represent a high-resolution image with highly compressed features that can be used …

Time division synchronization orthogonal frequency division multiplexing (TDS-OFDM) has
been attractive due to its fast synchronization and efficient spectral efficiency over …

In this paper, we improve iterative greedy search algorithms in which atoms are selected
serially over iterations, ie, one-by-one over iterations. For serial atom selection, we devise …

For compressed sensing with jointly sparse signals, we present a new signal model and two
new joint iterative-greedy-pursuit recovery algorithms. The signal model is based on the …

Compressive sensing (CS) has been widely used in wireless sensor networks (WSNs). In
WSNs, the sensors are battery-powered and hence their communication and processing …

Compressive sensing (CS) has recently become a critical technique to reduce the high
computational cost of signal processing systems. One of the main signal processing …

Spectra measured at a single pixel of a remotely sensed hyperspectral image is usually a
mixture of multiple spectral signatures (endmembers) corresponding to different materials on …

Millimeter wave (mmWave) full-duplex (FD) is a promising technique for improving capacity
by maximizing the utilization of both time and the rich mmWave frequency resources. Still, it …