activity
20122016
most citedEfficient Coordinated Recovery of Sparse Channels in Massive MIMO

184 citations · 191 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV20161 cited

Image Denoising Via Collaborative Support-Agnostic Recovery

Muzammil Behzad, Mudassir Masood, Tarig Ballal +2

In this paper, we propose a novel image denoising algorithm using collaborative support-agnostic sparse reconstruction. An observed image is first divided into patches. Similarly s…

cs.IT2014

Narrowband Interference Mitigation in SC-FDMA Using Bayesian Sparse Recovery

Anum Ali, Mudassir Masood, Muhammad S. Sohail +2

This paper presents a novel narrowband interference (NBI) mitigation scheme for SC-FDMA systems. The proposed NBI cancellation scheme exploits the frequency domain sparsity of the…

stat.AP2014

Receiver-based Recovery of Clipped OFDM Signals for PAPR Reduction: A Bayesian Approach

Anum Ali, Abdullatif Al-Rabah, Mudassir Masood +1

Clipping is one of the simplest peak-to-average power ratio (PAPR) reduction schemes for orthogonal frequency division multiplexing (OFDM). Deliberately clipping the transmission s…

stat.AP2014184 cited

Efficient Coordinated Recovery of Sparse Channels in Massive MIMO

Mudassir Masood, Laila H. Afify, Tareq Y. Al-Naffouri

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, these…

stat.OT20126 cited

A Fast Non-Gaussian Bayesian Matching Pursuit Method for Sparse Reconstruction

Mudassir Masood, Tareq Al-Naffouri

A fast matching pursuit method using a Bayesian approach is introduced for sparse signal recovery. This method, referred to as nGpFBMP, performs Bayesian estimates of sparse signal…