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Publications information icon

The network nullspace property for compressed sensing over networks

Peer-reviewed
DOI
10.1109/SAMPTA.2017.8024392
Jung, Alexander; Heimowitz, Ayelet; Eldar, Yonina C.
International Conference on Sampling Theory and Applications2017Publications information icon

Analysis of Regularized LS Reconstruction and Random Matrix Ensembles in Compressed Sensing

Peer-reviewed
DOI
10.1109/TIT.2016.2525824
Vehkaperä, Mikko; Kabashima, Yoshiyuki; Chatterjee, Saikat
IEEE Transactions on Information Theory2016Publications information icon

Low-Complexity Vector Quantized Compressed Sensing via Deep Neural Networks

Peer-reviewed
Open access
DOI
10.1109/OJCOMS.2020.3020131
Leinonen, Markus; Codreanu, Marian
IEEE open journal of the Communications Society2020Publications information icon

Low frequency interpolation of room impulse responses using compressed sensing

Peer-reviewed
DOI
10.1109/TASLP.2013.2286922
Mignot, Rémi; Chardon, Gilles; Daudet, Laurent
IEEE Transactions on Audio Speech and Language Processing2014Publications information icon

Room Reverberation Reconstruction: Interpolation of the Early Part Using Compressed Sensing

Peer-reviewed
Mignot, Rémi; Daudet, Laurent; Ollivier, François
IEEE Transactions on Audio Speech and Language Processing2013Publications information icon

A Network Compatibility Condition for Compressed Sensing over Complex Networks

Peer-reviewed
Open access
DOI
10.1109/SSP.2018.8450811
Tran, Nguyen; Ambos, Henrik; Jung, Alexander
IEEE statistical signal processing workshop2018Publications information icon

Compressed Sensing and Kalman Filter Based Channel Tracking for mmWave Massive MIMO Systems

Peer-reviewed
Open access
DOI
10.1109/WCSP58612.2023.10404575
Shen, Qi; Hu, Anzhong; He, Jiguang
International conference on wireless communications and signal processing2023Publications information icon

The network nullspace property for compressed sensing of big data over networks

Peer-reviewed
Open access
DOI
10.1109/ICASSP.2018.8462504
Hulsebos, Madelon; Jung, Alexander
Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing2018Publications information icon

Sequential Compressed Sensing with Progressive Signal Reconstruction in Wireless Sensor Networks

Peer-reviewed
DOI
10.1109/TWC.2014.2371017
Leinonen, Markus; Codreanu, Marian; Juntti, Markku
IEEE transactions on wireless communications2015Publications information icon

Performance of IRS-Assisted MIMO THz System Using Compressed Sensing-Based Measurement Matrix

Peer-reviewed
Open access
DOI
10.1109/ACCESS.2024.3469535
Sharma, Vaishali; Kumar, Deepak; Sharma, Sanjeev; Bhatia, Vimal; Krejcar, Ondrej; Brida, Peter
IEEE access2024

The network nullspace property for compressed sensing over networks

Peer-reviewed
DOI
10.1109/SAMPTA.2017.8024392
2017

Analysis of Regularized LS Reconstruction and Random Matrix Ensembles in Compressed Sensing

Peer-reviewed
DOI
10.1109/TIT.2016.2525824
2016

Low-Complexity Vector Quantized Compressed Sensing via Deep Neural Networks

Peer-reviewed
Open access
DOI
10.1109/OJCOMS.2020.3020131
2020

Low frequency interpolation of room impulse responses using compressed sensing

Peer-reviewed
DOI
10.1109/TASLP.2013.2286922
2014

Room Reverberation Reconstruction: Interpolation of the Early Part Using Compressed Sensing

Peer-reviewed
2013

A Network Compatibility Condition for Compressed Sensing over Complex Networks

Peer-reviewed
Open access
DOI
10.1109/SSP.2018.8450811
2018

Compressed Sensing and Kalman Filter Based Channel Tracking for mmWave Massive MIMO Systems

Peer-reviewed
Open access
DOI
10.1109/WCSP58612.2023.10404575
2023

The network nullspace property for compressed sensing of big data over networks

Peer-reviewed
Open access
DOI
10.1109/ICASSP.2018.8462504
2018

Sequential Compressed Sensing with Progressive Signal Reconstruction in Wireless Sensor Networks

Peer-reviewed
DOI
10.1109/TWC.2014.2371017
2015

Performance of IRS-Assisted MIMO THz System Using Compressed Sensing-Based Measurement Matrix

Peer-reviewed
Open access
DOI
10.1109/ACCESS.2024.3469535
2024