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Mario Coutino
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2020 – today
- 2025
- [j12]Ehsan Tohidi, Mario Coutino, David Gesbert:
Revisiting matching pursuit: Beyond approximate submodularity. Signal Process. 226: 109638 (2025) - 2023
- [j11]Qiuling Yang, Mario Coutino, Geert Leus
, Georgios B. Giannakis:
Autoregressive graph Volterra models and applications. EURASIP J. Adv. Signal Process. 2023(1): 4 (2023) - [j10]Pim van der Meulen
, Mario Coutiño
, Johannes G. Bosch
, Pieter Kruizinga
, Geert Leus
:
Ultrasonic Imaging Through Aberrating Layers Using Covariance Matching. IEEE Trans. Computational Imaging 9: 745-759 (2023) - [c37]Costas A. Kokke, Mario Coutino, Richard Heusdens, Geert Leus:
Array Design Based on the Worst-Case Cramér-Rao Bound to Account for Multiple Targets. ACSSC 2023: 1174-1178 - [c36]Costas A. Kokke, Mario Coutiño, Richard Heusdens, Geert Leus, Laura Anitori:
Robust Pareto-Optimal Radar Receive Filter Design for Noise and Sidelobe Suppression. EUSIPCO 2023: 1589-1593 - [c35]Costas A. Kokke, Mario Coutino, Laura Anitori, Richard Heusdens, Geert Leus:
Sensor Selection for Angle of Arrival Estimation Based on the Two-Target Cramér-Rao Bound. ICASSP 2023: 1-5 - [i9]Ehsan Tohidi, Mario Coutino, David Gesbert:
Revisiting Matching Pursuit: Beyond Approximate Submodularity. CoRR abs/2305.07782 (2023) - 2022
- [j9]Mario Coutino
, Geert Leus
:
A Cascaded Structure for Generalized Graph Filters. IEEE Trans. Signal Process. 70: 3499-3513 (2022) - [c34]Yanbin He, Mario Coutino, Elvin Isufi, Geert Leus:
Dynamic Bi-Colored Graph Partitioning. EUSIPCO 2022: 692-696 - [c33]Costas A. Kokke, Mario Coutiño, Richard Heusdens, Geert Leus, Laura Anitori:
Single-Pulse Estimation of Target Velocity on Planar Arrays. EUSIPCO 2022: 1811-1815 - 2021
- [b1]Mario Coutino:
Advances in graph signal processing: Graph filtering and network identification. Delft University of Technology, Netherlands, 2021 - [j8]Bingcong Li
, Mario Coutiño
, Georgios B. Giannakis
, Geert Leus
:
A Momentum-Guided Frank-Wolfe Algorithm. IEEE Trans. Signal Process. 69: 3597-3611 (2021) - [c32]Alberto Natali, Elvin Isufi, Mario Coutino, Geert Leus:
Online Graph Learning From Time-Varying Structural Equation Models. ACSCC 2021: 1579-1585 - [c31]Kaiwen Zhang, Mario Coutino, Elvin Isufi:
Sampling Graph Signals with Sparse Dictionary Representation. EUSIPCO 2021: 1815-1819 - [c30]Geert Leus, Maosheng Yang
, Mario Coutino, Elvin Isufi:
Topological Volterra Filters. ICASSP 2021: 5385-5399 - [c29]Alberto Natali, Mario Coutino, Elvin Isufi, Geert Leus:
Online Time-Varying Topology Identification Via Prediction-Correction Algorithms. ICASSP 2021: 5400-5404 - [i8]Alberto Natali, Elvin Isufi, Mario Coutino, Geert Leus:
Learning Time-Varying Graphs from Online Data. CoRR abs/2110.11017 (2021) - 2020
- [j7]Mario Coutino
, Sundeep Prabhakar Chepuri, Takanori Maehara
, Geert Leus:
Fast Spectral Approximation of Structured Graphs with Applications to Graph Filtering. Algorithms 13(9): 214 (2020) - [j6]Ehsan Tohidi
, Rouhollah Amiri
, Mario Coutino, David Gesbert, Geert Leus
, Amin Karbasi:
Submodularity in Action: From Machine Learning to Signal Processing Applications. IEEE Signal Process. Mag. 37(5): 120-133 (2020) - [j5]Mario Coutino
, Elvin Isufi
, Takanori Maehara, Geert Leus
:
State-Space Network Topology Identification From Partial Observations. IEEE Trans. Signal Inf. Process. over Networks 6: 211-225 (2020) - [c28]Maosheng Yang, Mario Coutino, Elvin Isufi, Geert Leus:
Node Varying Regularization for Graph Signals. EUSIPCO 2020: 845-849 - [c27]Mario Coutino, Elvin Isufi, Takanori Maehara, Geert Leus:
State-Space Based Network Topology Identification. EUSIPCO 2020: 1055-1059 - [c26]Pim van der Meulen, Mario Coutino, Pieter Kruizinga, Johannes G. Bosch, Geert Leus:
Blind calibration for arrays with an aberration layer in ultrasound imaging. EUSIPCO 2020: 1269-1273 - [c25]Qiongxiu Li
, Mario Coutino, Geert Leus, Mads Græsbøll Christensen
:
Privacy-Preserving Distributed Graph Filtering. EUSIPCO 2020: 2155-2159 - [c24]Bingcong Li, Mario Coutiño, Georgios B. Giannakis
:
Revisit of Estimate Sequence for Accelerated Gradient Methods. ICASSP 2020: 3602-3606 - [c23]Mario Coutino, Georgios Vasileios Karanikolas, Geert Leus, Georgios B. Giannakis
:
Self-Driven Graph Volterra Models for Higher-Order Link Prediction. ICASSP 2020: 3887-3891 - [c22]Tarik Kazaz, Mario Coutino, Gerard J. M. Janssen, Alle-Jan van der Veen
:
Joint Blind Calibration and Time-Delay Estimation for Multiband Ranging. ICASSP 2020: 4846-4850 - [c21]Qiuling Yang, Mario Coutino, Gang Wang, Georgios B. Giannakis
, Geert Leus:
Learning connectivity and higher-order interactions in radial distribution grids. ICASSP 2020: 5555-5559 - [c20]Alberto Natali, Mario Coutino, Geert Leus:
Topology-Aware Joint Graph Filter and Edge Weight Identification for Network Processes. MLSP 2020: 1-6 - [i7]Tarik Kazaz, Mario Coutino, Gerard J. M. Janssen, Alle-Jan van der Veen:
Joint blind calibration and time-delay estimation for multiband ranging. CoRR abs/2002.10167 (2020) - [i6]Bingcong Li, Mario Coutino, Georgios B. Giannakis, Geert Leus:
How Does Momentum Help Frank Wolfe? CoRR abs/2006.11116 (2020) - [i5]Alberto Natali, Mario Coutino, Elvin Isufi, Geert Leus:
Online Time-Varying Topology Identification via Prediction-Correction Algorithms. CoRR abs/2010.11634 (2020)
2010 – 2019
- 2019
- [j4]Ehsan Tohidi
, Mario Coutino
, Sundeep Prabhakar Chepuri
, Hamid Behroozi
, Mohammad Mahdi Nayebi, Geert Leus
:
Sparse Antenna and Pulse Placement for Colocated MIMO Radar. IEEE Trans. Signal Process. 67(3): 579-593 (2019) - [j3]Mario Coutino
, Elvin Isufi
, Geert Leus
:
Advances in Distributed Graph Filtering. IEEE Trans. Signal Process. 67(9): 2320-2333 (2019) - [j2]Guillermo Ortiz-Jiménez
, Mario Coutino
, Sundeep Prabhakar Chepuri
, Geert Leus
:
Sparse Sampling for Inverse Problems With Tensors. IEEE Trans. Signal Process. 67(12): 3272-3286 (2019) - [c19]Mario Coutino, Geert Leus:
On Distributed Consensus by a Cascade Of Generalized Graph Filters. ACSSC 2019: 46-50 - [c18]Mario Coutino, Elvin Isufi, Fernando Gama, Alejandro Ribeiro, Geert Leus:
Design Strategies for Sparse Control Of Random Time-Varying NETWORKS. ACSSC 2019: 184-188 - [c17]Qin Lu, Vassilis N. Ioannidis, Georgios B. Giannakis
, Mario Coutino:
Learning Graph Processes with Multiple Dynamical Models. ACSSC 2019: 1783-1787 - [c16]Mario Coutino, Sundeep Prabhakar Chepuri, Geert Leus:
Learning Sparse Hypergraphs from Dyadic Relational Data. CAMSAP 2019: 216-220 - [c15]Mario Coutino, Geert Leus
:
Asynchronous Distributed Edge-Variant Graph Filters. DSW 2019: 115-119 - [i4]Qiuling Yang, Mario Coutino, Gang Wang, Georgios B. Giannakis, Geert Leus:
Learning Connectivity and Higher-order Interactions in Radial Distribution Grids. CoRR abs/1911.03072 (2019) - 2018
- [j1]Mario Coutino
, Sundeep Prabhakar Chepuri
, Geert Leus
:
Submodular Sparse Sensing for Gaussian Detection With Correlated Observations. IEEE Trans. Signal Process. 66(15): 4025-4039 (2018) - [c14]Mario Coutino
, Elvin Isufi, Takanori Maehara, Geert Leus
:
On The Limits of Finite-Time Distributed Consensus Through Successive Local Linear Operations. ACSSC 2018: 993-997 - [c13]Tarik Kazaz, Mario Coutino
, Gerard J. M. Janssen, Geert Leus
, Alle-Jan van der Veen
:
Joint Ranging and Clock Synchronization for Dense Heterogeneous IoT Networks. ACSSC 2018: 2169-2173 - [c12]Mario Coutino
, Sundeep Prabhakar Chepuri, Geert Leus
:
Sparsest Network Support Estimation: A Submodular Approach. DSW 2018: 200-204 - [c11]Guillermo Ortiz-Jiménez, Mario Coutino
, Sundeep Prabhakar Chepuri, Geert Leus
:
Sampling and Reconstruction of Signals on Product Graphs. GlobalSIP 2018: 713-717 - [c10]Mario Coutino
, Sundeep Prabhakar Chepuri, Geert Leus
:
Subset Selection for Kernel-Based Signal Reconstruction. ICASSP 2018: 4014-4018 - [c9]Sundeep Prabhakar Chepuri, Mario Coutino
, Antonio G. Marques
, Geert Leus
:
Distributed Analytical Graph Identification. ICASSP 2018: 4064-4068 - [i3]Guillermo Ortiz-Jiménez, Mario Coutino, Sundeep Prabhakar Chepuri, Geert Leus:
Sparse Sampling for Inverse Problems with Tensors. CoRR abs/1806.10976 (2018) - [i2]Guillermo Ortiz-Jiménez, Mario Coutino, Sundeep Prabhakar Chepuri, Geert Leus:
Sampling and Reconstruction of Signals on Product Graphs. CoRR abs/1807.00145 (2018) - [i1]Tarik Kazaz, Mario Coutino, Gerard J. M. Janssen, Geert Leus, Alle-Jan van der Veen:
Joint Ranging and Clock Synchronization for Dense Heterogeneous IoT Networks. CoRR abs/1812.01221 (2018) - 2017
- [c8]Mario Coutino
, Sundeep Prabhakar Chepuri, Geert Leus
:
Sparse sensing for composite matched subspace detection. CAMSAP 2017: 1-5 - [c7]Mario Coutino
, Elvin Isufi, Geert Leus
:
Distributed edge-variant graph filters. CAMSAP 2017: 1-5 - [c6]N. R. Krishnaprasad, Mario Coutino
, Sundeep Prabhakar Chepuri, Daniel Fernandez Comesana, Geert Leus
:
DOA estimation and beamforming using spatially under-sampled AVS arrays. CAMSAP 2017: 1-5 - [c5]Mario Coutino
, Sundeep Prabhakar Chepuri, Geert Leus
:
Near-optimal greedy sensor selection for MVDR beamforming with modular budget constraint. EUSIPCO 2017: 1981-1985 - [c4]Mario Coutino
, Martin Bo Møller
, Jesper Kjær Nielsen
, Richard Heusdens:
Greedy alternative for room geometry estimation from acoustic echoes: A subspace-based method. ICASSP 2017: 366-370 - 2016
- [c3]Mario Coutino
, Radmila Pribic, Geert Leus
:
Direction of arrival estimation based on information geometry. ICASSP 2016: 3066-3070 - [c2]Mario Coutino
, Radmila Pribic, Geert Leus
:
Bound on the estimation grid size for sparse reconstruction in direction of arrival estimation. SSP 2016: 1-4 - [c1]Radmila Pribic, Mario Coutino
, Geert Leus
:
Stochastic resolution analysis of co-prime arrays in radar. SSP 2016: 1-5
Coauthor Index
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