Jon Oñativia
Jon Oñativia
Tecnalia Research and Innovation üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Alıntı yapanlar
Alıntı yapanlar
A finite rate of innovation algorithm for fast and accurate spike detection from two-photon calcium imaging
J Oñativia, SR Schultz, PL Dragotti
Journal of neural engineering 10 (4), 046017, 2013
Computer-aided microcalcification detection on digital breast tomosynthesis data: A preliminary evaluation
S Bernard, S Muller, J Onativia
International Workshop on Digital Mammography, 151-157, 2008
Spike detection using FRI methods and protein calcium sensors: performance analysis and comparisons
S Reynolds, J Oñativia, CS Copeland, SR Schultz, PL Dragotti
Sampling Theory and Applications (SampTA), 2015 International Conference on …, 2015
Sequential Local FRI Sampling of Infinite Streams of Diracs
J Oñativia, JA Urigüen, PL Dragotti
ICASSP 2013, 5440-5444, 2013
Sparse sampling: theory, methods and an application in neuroscience
J Oñativia, PL Dragotti
Biological cybernetics 109 (1), 125-139, 2015
Finite Dimensional FRI
J Oñativia, YM Lu, PL Dragotti
ICASSP 2014, 2014
Collaborative Robots for Surgical Applications
Á Bertelsen, D Scorza, C Cortés, J Oñativia, Á Escudero, E Sánchez, ...
Iberian Robotics conference, 524-535, 2017
Approximate Strang-Fix: sampling infinite streams of Diracs with any kernel
PL Dragotti, J Oñativia, A Urigüen, T Blu
Wavelets and Sparsity XV 8858, 88580Y, 2013
RoboTracker: Collaborative robotic assistant device with electromechanical patient tracking for spinal surgery
A Amarillo, J Oñativia, E Sanchez
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
Sparsity according to Prony, average performance analysis
J Oñativia, PL Dragotti, YM Lu
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Sampling and Reconstruction of Finite Rate of Innovation Signals with Applications in Neuroscience and Sparse Representation
J Oñativia
PhD Thesis, Imperial College London, 2015
Sparsity pattern recovery using FRI methods
J Oñativia, YM Lu, PL Dragotti
Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International …, 2015
Sparse Representation in Fourier and Local Bases Using ProSparse: A Probabilistic Analysis
YM Lu, J Oñativia, PL Dragotti
IEEE Transactions on Information Theory 64 (4), 2639-2647, 2017
Prosparse denoise: Prony's based sparse pattern recovery in the presence of noise
J Onativia, YM Lu, PL Dragotti
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
A fast layer-based multiview image coding algorithm
A Gelman, J Onativia, PL Dragotti
2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO …, 2012
Collaborative Human–Robot Interaction Interface: Development for a Spinal Surgery Robotic Assistant
A Amarillo, E Sanchez, J Caceres, J Oñativia
International Journal of Social Robotics, 1-12, 2021
Detecting neuronal activity from calcium imaging data using FRI methods (Conference Presentation)
S Reynolds, J Oñativia, SR Schultz, PL Dragotti
Wavelets and Sparsity XVII 10394, 103940Z, 2017
Sparsity according to Prony: Average-Case Performance Analysis and Phase Transition.
YM Lu, J Oñativia, PL Dragotti
CoRR, 2016
Sampling and reconstruction of finite rate of innovation signals with applications in neuroscience
J Onativia
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Makaleler 1–19