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Efficient coordinated recovery of sparse channels in massive MIMO
M Masood, LH Afify… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
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 …
systems. Most wireless channels are sparse in nature with large delay spread. In addition …
Deep seismic CS: A deep learning assisted compressive sensing for seismic data
For large-scale seismic exploration in areas that lack even basic infrastructure, wired
geophones are impractical because of the huge effort involved and their high deployment …
geophones are impractical because of the huge effort involved and their high deployment …
Narrowband interference mitigation in SC-FDMA using Bayesian sparse recovery
This paper presents a novel narrowband interference (NBI) mitigation scheme for single
carrier-frequency division multiple access systems. The proposed NBI cancellation scheme …
carrier-frequency division multiple access systems. The proposed NBI cancellation scheme …
Distribution Agnostic Structured Sparsity Recovery: Algorithms and Applications
M Masood - 2015 - repository.kaust.edu.sa
Compressed sensing has been a very active area of research and several elegant
algorithms have been developed for the recovery of sparse signals in the past few years …
algorithms have been developed for the recovery of sparse signals in the past few years …
Support agnostic Bayesian recovery of jointly sparse signals
A matching pursuit method using a Bayesian approach is introduced for recovering a set of
sparse signals with common support from a set of their measurements. This method …
sparse signals with common support from a set of their measurements. This method …
Enhancing the fundamental limits of sparsity pattern recovery
Z Shaeiri, MR Karami, A Aghagolzadeh - Digital Signal Processing, 2017 - Elsevier
Detecting the sparsity pattern or support set of a sparse vector from a small number of noisy
linear measurements is a challenging problem in compressed sensing. This paper …
linear measurements is a challenging problem in compressed sensing. This paper …
Combating Impairments in Multi-carrier Systems: A Compressed Sensing Approach
S Al-Shuhail - 2015 - repository.kaust.edu.sa
Multi-carrier systems suffer from several impairments, and communication system engineers
use powerful signal processing tools to combat these impairments and keep up with the …
use powerful signal processing tools to combat these impairments and keep up with the …
基于非凸复合函数的稀疏信号恢复算法
周洁容, **海洋, 凌军, 陈浩, 彭济根 - 自动化学报, 2022 - aas.net.cn
基于非凸复合函数的稀疏信号恢复算法 E-mail Alert RSS 2.845 2023影响因子 (CJCR) 中文
核心 EI **科技核心 Scopus CSCD 英国科学文摘 首页 期刊介绍 1.基本信息 2.收录与获奖 3.**年 …
核心 EI **科技核心 Scopus CSCD 英国科学文摘 首页 期刊介绍 1.基本信息 2.收录与获奖 3.**年 …