# ir. M.A. Coutino

*PhD student*

Circuits and Systems (CAS), Department of Microelectronics

**Expertise:** Array signal processing, Sensor networks, Optimization, Numerical Lineal Algebra

**Themes:**Autonomous sensor systems, XG - Next Generation Sensing and Communication

### Biography

Mario CoutiĆ±o Minguez finished his MSc thesis in Aug 2016 in the CAS group (while working at Bang & Olufsen, Denmark) and started in Sep 2016 as a PhD student on the ASPIRE project.

### EE4530 Applied convex optimization

Applied convex optimization: role of convexity in optimization, convex sets and functions, Canonical convex problems (SDP, LP, QP), second-order methods, first-order methods for large-scale problems.

### Task-cognizant sparse sensing for inference

Low-cost sparse sensing designed for specific tasks

**Advances in Distributed Graph Filtering**

M. Coutino; E. Isufi; G. Leus;*IEEE Tr. Signal Processing*,

Volume 67, Issue 9, pp. 2320-2333, May 2019. DOI: 10.1109/TSP.2019.2904925

document**Sparse Antenna and Pulse Placement for Colocated MIMO Radar**

E. Tohidi; M. Coutino; S.P. Chepuri; H. Behroozi; M.M. Nayebi; G. Leus;*IEEE Tr. Signal Processing*,

Volume 67, Issue 3, pp. 579-593, February 2019. DOI: 10.1109/TSP.2018.2881656

document**Asynchronous Distributed Edge-Variant Graph Filters**

Mario Coutino; Geert Leus;

In*2019 IEEE Data Science Workshop (DSW)*,

IEEE, pp. 115--119, 2019. ISBN: 978-1-7281-0709-7. DOI: 10.1109/DSW.2019.8755577

## Abstract: ...

As the size of the sensor network grows, synchronization starts to become the main bottleneck for distributed computing. As a result, efforts in several areas have been focused on the convergence analysis of asynchronous computational methods. In this work, we aim to cross-pollinate distributed graph filters with results in parallel computing to provide guarantees for asynchronous graph filtering. To alleviate the possible reduction of convergence speed due to asynchronous updates, we also show how a slight modification to the graph filter recursion, through operator splitting, can be performed to obtain faster convergence. Finally, through numerical experiments the performance of the discussed methods is illustrated.

document**Phase-based distance determination for wireless sensor networks**

T. Kazaz; M. Coutino; G.J.M. Janssen; G.J.T. Leus; A.J. van der Veen;

Patent, USPTO 621 81 5,1 64, March 2019.**Submodular Sparse Sensing for Gaussian Detection With Correlated Observations**

M. Coutino; S. P. Chepuri; G. Leus;*IEEE Transactions on Signal Processing*,

Volume 66, Issue 15, pp. 4025-4039, August 2018. ISSN: 1053-587X. DOI: 10.1109/TSP.2018.2846220

document**Subset selection for kernel-based signal reconstruction**

M. Coutino; S.P. Chepuri; G. Leus;

In*2018 IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP)*,

Calgary (Canada), IEEE, pp. 4014-4018, April 2018. ISSN: 2379-190X. DOI: 10.1109/ICASSP.2018.8461510

document**Distributed Analytical Graph Identification**

S.P. Chepuri; M. Coutino; A. G. Marques; G. Leus;

In*2018 IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP)*,

Calgary (Canada), IEEE, pp. 4064-4068, April 2018. ISSN: 2379-190X. DOI: 10.1109/ICASSP.2018.8461484

document**Edge-Variant Graph Filters**

G. Leus; M. Coutino; E. Isufi;

In*Graph Signal Processing Workshop (GSP18)*,

Lausanne (CH), IEEE, June 2018.**Sparsest network support estimation: a submodular approach**

M. Coutino; S.P. Chepuri; G. Leus;

In*IEEE Data Science Workshop (DSW18)*,

Lausanne (CH), IEEE, pp. 200-204, June 2018. DOI: 10.1109/DSW.2018.8439890

document**Joint Ranging and Clock Synchronization for a Dense Heterogeneous IoT Networks**

T. Kazaz; M. Coutino; G. Leus; A.J. van der Veen; G. Janssen;

In*52nd Asilomar Conference on Signals, Systems and Computers*,

Asilomar, CA, IEEE, pp. 2169-2173, November 2018. DOI: 10.1109/ACSSC.2018.8645210

document**Sampling and Reconstruction of Signals on Product Graphs**

G. Ortiz-Jimenez; M. Coutino; S.P. Chepuri; G. Leus;

In*Proc. of the IEEE Global Conference on Signal and Information Processing (GlobalSIP 2018)*,

Anaheim, California, USA, November 2018.**On the Limits of Finite-Time Distributed Consensus through Successive Local Linear Operations**

M. Coutino; E. Isufi; G. Leus;

In*52nd Asilomar Conference on Signals, Systems and Computers*,

IEEE, November 2018.**Greedy alternative for room geometry estimation from acoustic echoes: a subspace-based method**

M. Coutino; M.B. Moller; J.K. Nielsen; R. Heusdens;

In*Int. Conf. Audio Speech Signal Proc. (ICASSP)*,

New Orleans (USA), IEEE, pp. 366-370, March 2017. DOI: 10.1109/ICASSP.2017.7952179

document**Sparse Sensing for Composite Matched Subspace Detection**

M. Coutino; S. P. Chepuri; G. Leus;

In*2017 IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)*,

Curacao, IEEE, December 2017. ISBN 978-1-5386-1250-7.**Near-Optimal Greedy Sensor Selection for MVDR Beamforming with Modular Budget Constraint**

M. Coutino; S.P. Chepuri; G.J.T. Leus;

In*25th European Signal Processing Conference (EUSIPCO 2017)*,

Kos (Greece), EURASIP, pp. 2035-2039, August 2017. ISBN 978-0-9928626-7-1. DOI: 10.23919/EUSIPCO.2017.8081556

document**DOA Estimation and Beamforming Using Spatially Under-Sampled AVS Arrays**

K. Nambur Ramamohan; M. M. Coutino; S.P. Chepuri; D. Fernandez Comesana; G. Leus;

In*2017 IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)*,

Curacao, IEEE, December 2017. ISBN 978-1-5386-1250-7.**Distributed Edge-Variant Graph Filters**

M. Coutino; E. Isufi; G. Leus;

In*2017 IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)*,

Curacao, IEEE, December 2017. ISBN 978-1-5386-1250-7.**Direction of arrival estimation based on information geometry**

M. Coutino; R. Pribic; G. Leus;

In*Int. Conf. Audio Speech Signal Proc. (ICASSP)*,

Shanghai (China), IEEE, March 2016.

document**Stochastic resolution analysis of co-prime arrays in radar**

R. Pribic; M. Coutino; G. Leus;

In*IEEE Stat. Signal Proc. Workshop*,

June 2016. DOI: 10.1109/SSP.2016.7551757

document**Bound on the estimation grid size for sparse reconstruction in direction of arrival estimation**

M. Coutino; R. Pribic; G. Leus;

In*IEEE Stat. Signal Proc. Workshop*,

June 2016. DOI: 10.1109/SSP.2016.7551781

document

## BibTeX support

Last updated: 26 Nov 2019