This paper presents sparse Bayesian learning (SBL)-based schemes for approximately
sparse channel estimation in an orthogonal space-time block coded (OSTBC) multiple-input …

Using a novel block iterative Bayesian algorithm (Block-IBA), this paper presents a new
impulsive noise reduction method for OFDM systems. The method utilizes the guard band …

This work gains a sharp sufficient condition on the block restricted isometry property for the
recovery of sparse signal and corresponding upper bound estimate of error. Under the …

This paper presents a comprehensive performance analysis of full-duplex multiuser relay
networks employing opportunistic scheduling with noisy and compressive feedback …

Abstract Through-the-Wall Radar Imaging (TWRI) is anemerging technology which enables
us to detect behind the wall targets using electromagnetic signals. TWRI has received …

We present an algorithm and its variants for sparse signal recovery from a small number of
its measurements in a distribution agnostic manner. The proposed algorithm finds Bayesian …

We propose a method for estimation of sparse frequency selective channels within MIMO-
OFDM systems. These channels are independently sparse and share a common support …

In this paper, we present a comprehensive scheme for wireless monitoring of the respiratory
movements in humans. Our scheme overcomes the challenges low signal-to-noise ratio …

A common target model in through-the-wall radar (TWRI) imaging literature obeys the point
target (PT) assumption in which, a target is hypothesized to occupy a single pixel. Unlike …

Over the years, progressive improvements in denoising performance have been achieved
by several image denoising algorithms that have been proposed. Despite this, many of …