The Internet of Things (IoT) holds great promises to provide an edge cutting technology that
enables numerous innovative services related to healthcare, manufacturing, smart cities and …

This paper presents a survey of the state-of-the-art advances in human vital signs detection
using radar sensors, their integration and coexistence with communication systems, and …

This paper suggests a sparse watermark image embedding scheme on the singular values
of the pre-selected wavelet sub-band coefficients of the digital images. Dictionary learning …

Mutual interference in automotive radar scenarios is going to become a major concern as
the density of vehicles with radar sensors in the roads increases. The present work tackles …

Sparse recovery techniques find applications in many areas. Real-time implementation of
such techniques has been recently an important area for research. In this paper, we propose …

The continuous wavelet transform (CWT) has been used in radar-based vital signs detection
to identify and to remove the motion artifacts from the received radar signals. Since the CWT …

For the purpose of target parameter estimation of the orthogonal frequency‐division
multiplexing (OFDM) radar, a high‐resolution method of joint estimation on range and …

Compressed sensing (CS) is one of the hottest research topics in the sparse signal
reconstruction problem. But CS implementation has a drawback of high computational …

This paper reports a field-programmable gate array (FPGA) design of compressed sensing
(CS) using the orthogonal matching pursuit (OMP) algorithm. While solving the least …

This paper presents a System on Chip (SoC) implementation of the standard Orthogonal
Matching Pursuit (OMP) algorithm using matrix partition and Modified Cholesky factorization …