Hamid Nouasria

Orcid: 0000-0002-6128-3660

According to our database1, Hamid Nouasria authored at least 12 papers between 2017 and 2022.

Collaborative distances:
  • Dijkstra number2 of six.
  • Erdős number3 of six.

Timeline

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Bibliography

2022
A fast gradient-based sensing matrix optimization approach for compressive sensing.
Signal Image Video Process., 2022

2019
A new efficient sensing matrix for cluster structured sparse signals recovery.
Digit. Signal Process., 2019

New Bernoulli And Gaussian Sensing Matrices For Cluster Structured Sparse Signals.
Proceedings of the 2019 IEEE Wireless Communications and Networking Conference, 2019

New Sensing Matrices Based On Orthogonal Hadamard Matrices For Compressive Sensing.
Proceedings of the 15th International Wireless Communications & Mobile Computing Conference, 2019

An MMSE Integrated Equalization for HARQ Chase Combining in OQAM-FBMC systems.
Proceedings of the 15th International Wireless Communications & Mobile Computing Conference, 2019

A Novel Deterministic Sensing Matrix Based on Kasami Codes for Cluster Structured Sparse Signals.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Sensing matrix based on Kasami codes for compressive sensing.
IET Signal Process., 2018

An Optimal Sparse Signals Recovery Using Constraint Programming.
Proceedings of the 6th International Conference on Wireless Networks and Mobile Communications, 2018

2017
New constructions of Bernoulli and Gaussian sensing matrices for compressive sensing.
Proceedings of the International Conference on Wireless Networks and Mobile Communications, 2017

Compressive sensing via constraint programming.
Proceedings of the International Conference on Wireless Networks and Mobile Communications, 2017

An Improved Bernoulli Sensing Matrix for Compressive Sensing.
Proceedings of the Ubiquitous Networking - Third International Symposium, 2017

A novel sensing matrix for cluster structured sparse signals.
Proceedings of the 13th International Wireless Communications and Mobile Computing Conference, 2017


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