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Block-Sparse Signal Recovery via General Total Variation Regularized Sparse Bayesian Learning

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DOI
10.1109/tsp.2022.3144948
Sant, Aditya; Leinonen, Markus; Rao, Bhaskar D.
IEEE transactions on signal processing2022Publicationer information ikon

General Total Variation Regularized Sparse Bayesian Learning for Robust Block-Sparse Signal Recovery

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DOI
10.1109/ICASSP39728.2021.9413977
Sant, Aditya; Leinonen, Markus; Rao, Bhaskar D.
Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing2021Publicationer information ikon

Streaming Signal Recovery Using Sparse Bayesian Learning

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DOI
10.1109/ACSSC.2014.7094654
Wijewardhana, Uditha; Codreanu, Marian
Asilomar conference on signals, systems & computers.2014Publicationer information ikon

Sparse Bayesian learning approach for streaming signal recovery

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DOI
10.1109/ITW.2014.6970841
Wijewardhana, Uditha; Codreanu, Marian
IEEE Information Theory Workshop2014Publicationer information ikon

Improved Sparse Signal Recovery via Adaptive Correlated Noise Model

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DOI
10.1109/tci.2022.3214757
Eslahi, Nasser; Foi, Alessandro
IEEE Transactions on Computational Imaging2022Publicationer information ikon

Sparse recovery algorithms for streaming and multidimensional signals

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Wijewardhana, Uditha
Oulun yliopisto2020Publicationer information ikon

Scalable graph signal recovery for big data over networks

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DOI
10.1109/SPAWC.2016.7536869
Jung, Alex; Berger, Peter; Hannak, Gabor; Matz, Gerald
IEEE International Workshop on Signal Processing Advances in Wireless Communications2016Publicationer information ikon

Smooth graph signal recovery via efficient Laplacian solvers

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DOI
10.1109/ICASSP.2017.7953291
Eslamlou, Gita Babazadeh; Jung, Alexander; Goertz, Norbert
Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing2017Publicationer information ikon

Optimizing massive random access : leveraging correlation models and sparse recovery algorithms

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Djelouat, Hamza
Acta Universitatis Ouluensis Series C Technica2024Publicationer information ikon

Shape recovery for sparse-data tomography

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Haario, H; Kallonen, A; Laine, M; Niemi, E; Purisha, Z; Siltanen, S
MATHEMATICAL METHODS IN THE APPLIED SCIENCES Volume: 40 Issue: 18 Pages: 6649-66692017

Block-Sparse Signal Recovery via General Total Variation Regularized Sparse Bayesian Learning

Referentgranskad
Öppen tillgång
DOI
10.1109/tsp.2022.3144948
2022

General Total Variation Regularized Sparse Bayesian Learning for Robust Block-Sparse Signal Recovery

Referentgranskad
Öppen tillgång
DOI
10.1109/ICASSP39728.2021.9413977
2021

Streaming Signal Recovery Using Sparse Bayesian Learning

Referentgranskad
DOI
10.1109/ACSSC.2014.7094654
2014

Sparse Bayesian learning approach for streaming signal recovery

Referentgranskad
DOI
10.1109/ITW.2014.6970841
2014

Improved Sparse Signal Recovery via Adaptive Correlated Noise Model

Referentgranskad
Öppen tillgång
DOI
10.1109/tci.2022.3214757
2022

Sparse recovery algorithms for streaming and multidimensional signals

Öppen tillgång
2020

Scalable graph signal recovery for big data over networks

Referentgranskad
DOI
10.1109/SPAWC.2016.7536869
2016

Smooth graph signal recovery via efficient Laplacian solvers

Referentgranskad
DOI
10.1109/ICASSP.2017.7953291
2017

Optimizing massive random access : leveraging correlation models and sparse recovery algorithms

Öppen tillgång
2024

Shape recovery for sparse-data tomography

Referentgranskad
2017