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20132026
most citedA Low-Complexity LoRa Synchronization Algorithm Robust to Sampling Time Offsets

69 citations · 304 across the 20 of their papers we have counts for

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Showing cs.ITShow all

6 papers · 1 filter

cs.IT2018★ 5 cited

WaveComBox: a Matlab Toolbox for Communications using New Waveforms

François Rottenberg, Mathieu Van Eeckhaute, Trung-Hien Nguyen +2

Future generations of communications systems will target a very wide range of applications. Each application comes with its own set of requirements in terms of data rate, latency,…

cs.IT2016★ 33 cited

Single-Tap Precoders and Decoders for Multi-User MIMO FBMC-OQAM under Strong Channel Frequency Selectivity

François Rottenberg, Xavier Mestre, François Horlin +1

The design of linear precoders or decoders for multiuser (MU) multiple-input multiple-output (MIMO) filterbank multicarrier (FBMC) modulations in the case of strong channel frequen…

cs.IT2016★ 16 cited

Improving the Correlation Lower Bound for Simultaneous Orthogonal Matching Pursuit

Jean-François Determe, Jérôme Louveaux, Laurent Jacques +1

The simultaneous orthogonal matching pursuit (SOMP) algorithm aims to find the joint support of a set of sparse signals acquired under a multiple measurement vector model. Critical…

cs.IT2016★ 68 cited

On the Noise Robustness of Simultaneous Orthogonal Matching Pursuit

Jean-François Determe, Jérôme Louveaux, Laurent Jacques +1

In this paper, the joint support recovery of several sparse signals whose supports present similarities is examined. Each sparse signal is acquired using the same noisy linear meas…

cs.IT2015★ 53 cited

On The Exact Recovery Condition of Simultaneous Orthogonal Matching Pursuit

Jean-François Determe, Jérôme Louveaux, Laurent Jacques +1

Several exact recovery criteria (ERC) ensuring that orthogonal matching pursuit (OMP) identifies the correct support of sparse signals have been developed in the last few years. Th…

cs.IT2015★ 8 cited

Simultaneous Orthogonal Matching Pursuit With Noise Stabilization: Theoretical Analysis

J. F. Determe, J. Louveaux, L. Jacques +1

This paper studies the joint support recovery of similar sparse vectors on the basis of a limited number of noisy linear measurements, i.e., in a multiple measurement vector (MMV)…