Task-cognizant sparse sensing for inference

Publications

  1. DOA estimation in heteroscedastic noise
    P. Gerstoft; S. Nannuru; C.F. Mecklenbrauker; G. Leus;
    Signal Processing,
    March 2019. DOI: 10.1016/j.sigpro.2019.03.014
    document

  2. 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

  3. Online Graph-Adaptive Learning With Scalability and Privacy
    Yanning Shen; G. Leus; G.B. Giannakis;
    IEEE Tr. Signal Processing,
    Volume 67, Issue 9, pp. 2471-2483, May 2019. DOI: 10.1109/TSP.2019.2904922
    document

  4. Aggregation Graph Neural Networks
    F. Gama; A.G. Marques; A. Ribeiro; G. Leus;
    In 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
    Brighton, UK, IEEE, pp. 4943-4947, May 2019. DOI: 10.1109/ICASSP.2019.8682975
    document

  5. 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

  6. Structured ultrasound microscopy
    J. Janjic; P. Kruizinga; P. van der Meulen; G. Springeling; F. Mastik; G. Leus; J.G. Bosch; A.F.W. van der Steen; G. van Soest;
    Applied Physics Letters,
    Volume 112, Issue 25, April 2018. DOI: 10.1063/1.5026863
    document

  7. Statistical Graph Signal Processing: Stationarity and Spectral Estimation
    S. Segarra; S.P. Chepuri; A.G. Marques; G. Leus;
    In Cooperative and Graph Signal Processing,
    Academic Press, 2018. ISBN: 978-0-12-813677-5. DOI: 10.1016/B978-0-12-813677-5.00012-2
    document

  8. 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

  9. 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

  10. Graph Sampling With and Without Input Priors
    S.P. Chepuri; Y. Eldar; G. Leus;
    In 2018 IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP),
    Calgary (Canada), IEEE, pp. 4564-4568, April 2018. ISSN: 2379-190X. DOI: 10.1109/ICASSP.2018.8461420
    document

  11. Aggregation Convolutional Neural Networks for Graph Signals
    F. Gama; A. Ribeiro; A. Marques; G. Leus;
    In Graph Signal Processing Workshop (GSP18),
    Lausanne (CH), June 2018.

  12. Control of graph signals over random time-varying graphs
    F. Gama; E. Isufi; G. Leus; A. Ribeiro;
    In 2018 IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP),
    Calgary (Canada), IEEE, pp. 4169-4173, April 2018. ISSN: 2379-190X. DOI: 10.1109/ICASSP.2018.8462381
    document

  13. Edge-Variant Graph Filters
    G. Leus; M. Coutino; E. Isufi;
    In Graph Signal Processing Workshop (GSP18),
    Lausanne (CH), IEEE, June 2018.

  14. Observing Bandlimited Graph Processes
    E. Isufi; G. Leus; P. Banelli; P. Di Lorenzo;
    In Graph Signal Processing Workshop (GSP18),
    Lausanne (CH), June 2018.

  15. Blind Graph Topology Change Detection
    E. Isufi; G. Leus;
    In Graph Signal Processing Workshop (GSP18),
    Lausanne (CH), June 2018.

  16. 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

  17. Convolutional neural networks via node-varying graph filters
    F. Gama; G. Leus; A. Marques; A. Ribeiro;
    In IEEE Data Science Workshop (DSW18),
    Lausanne (CH), IEEE, pp. 1-5, June 2018. DOI: 10.1109/DSW.2018.8439899
    document

  18. 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.

  19. Observing Bandlimited Graph Processes from Subsampled Measurements
    E. Isufi; P. Banelli; P. Di Lorenzo; G. Leus;
    In 52nd Asilomar Conference on Signals, Systems and Computers,
    IEEE, November 2018.

  20. 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.

  21. Calibration techniques for single-sensor ultrasound imaging with a coding mask
    P. van der Meulen; P. Kruizinga; J.G. Bosch; G. Leus;
    In 52nd Asilomar Conference on Signals, Systems and Computers,
    IEEE, November 2018.

  22. Stationary Graph Processes and Spectral Estimation
    A. G. Marques; S. Segarra; G. Leus; A. Ribeiro;
    IEEE Transactions on Signal Processing,
    Volume 65, Issue 22, pp. 5911-5926, November 2017. ISSN: 1053-587X. DOI: 10.1109/TSP.2017.2739099
    document

  23. Compressive 3D ultrasound imaging using a single sensor
    P. Kruizinga; P. van der Meulen; A. Fedjajevs; F. Mastik; G. Springeling; N. de Jong; J.G. Bosch; G. Leus;
    Science Advances,
    Volume 3, December 2017. ISSN: 2375-2548. DOI: 10.1126/sciadv.1701423
    document
    Youtube

  24. Model-based image reconstruction for medical ultrasound
    P. Kruizinga; P. van der Meulen; F. Mastik; N. de Jong; J. G. Bosch; G. Leus;
    The Journal of the Acoustical Society of America,
    Volume 141, Issue 5, pp. 3610-3610, June 2017. DOI: 10.1121/1.4987733

  25. Stationary graph processes: parametric power spectral estimation
    S. Segarra; A. G. Marques; G. Leus; A. Ribeiro;
    In Int. Conf. Audio Speech Signal Proc. (ICASSP),
    New Orleans (USA), IEEE, pp. 4099-4103, March 2017. DOI: 10.1109/ICASSP.2017.7952927
    document

  26. 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.

  27. Acoustical compressive 3D imaging with a single sensor
    P. Kruizinga; P. van der Meulen; F. Mastik; A. Fedjajevs; G. Springeling; N. de Jong; G. Leus; J. G. Bosch;
    In 2017 IEEE International Ultrasonics Symposium (IUS),
    pp. 1-1, September 2017. DOI: 10.1109/ULTSYM.2017.8091779
    document

  28. 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

  29. Stationary Graph Signals: Power Spectral Density Estimation and Sampling (distinguished lecture)
    G. Leus;
    In 2017 5th IEEE Global Conference on Signal and Information Processing (GlobalSIP),
    Montreal, Canada, IEEE, November 2017.

  30. 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.

  31. 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.

  32. Spatial Compression in Ultrasound Imaging
    P. van der Meulen; P. Kruizinga; J. G. Bosch; G. Leus;
    In 51st Asilomar Conf. on Signals, Systems and Computers,
    Asilomar (CA), IEEE, October 2017.

  33. Impulse response estimation method for ultrasound arrays
    P. van der Meulen; P. Kruizinga; J. G. Bosch; G. Leus;
    In 2017 IEEE International Ultrasonics Symposium (IUS),
    pp. 1-4, September 2017. DOI: 10.1109/ULTSYM.2017.8092977
    document

  34. Graph Sampling for Covariance Estimation
    S.P. Chepuri; G. Leus;
    In Subm. IEEE Journ. of Selec. Topics in Signal Proc.,
    November 2016.

  35. Sparse Sensing for Statistical Inference
    S.P. Chepuri; G. Leus;
    Boston-Delft: Foundations and Trends in Signal Processing, , 2016. ISBN-978-1-68083-236-5.. DOI: 10.1561/2000000069

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