Jose Antonio Urigüen
Jose Antonio Urigüen
PhD student, Imperial College of London
Verified email at deusto.es
Title
Cited by
Cited by
Year
EEG artifact removal—state-of-the-art and guidelines
JA Urigüen, B Garcia-Zapirain
Journal of neural engineering 12 (3), 031001, 2015
4352015
FRI sampling with arbitrary kernels
JA Urigüen, T Blu, PL Dragotti
IEEE Transactions on Signal Processing 61 (21), 5310 - 5323, 2013
1002013
4 Sampling at the rate of innovation: theory and applications
JA Urigüen, YC Eldar, PL Dragotti, Z Ben-Haim
Compressed Sensing: Theory and Applications, 148, 2012
372012
On the exponential reproducing kernels for sampling signals with finite rate of innovation
JA Urigüen, PL Dragotti, T Blu
Proceedings of Sampling Theory and Applications (SampTA), 2011
232011
Comparison of background EEG activity of different groups of patients with idiopathic epilepsy using Shannon spectral entropy and cluster-based permutation statistical testing
JA Urigüen, B García-Zapirain, J Artieda, J Iriarte, M Valencia
PLoS One 12 (9), e0184044, 2017
122017
Sequential local FRI sampling of infinite streams of Diracs
J Onativia, JA Urigüen, PL Dragotti
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
102013
Aminopyrrolidine sulfonamides as serine protease inhibitors
MN Greco, BE Maryanoff, MJ Hawkins, RE Boyd
US Patent 6,538,017, 2003
82003
Spike sorting at sub-nyquist rates
J Caballero, JA Urigüen, SR Schultz, PL Dragotti
2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012
62012
Compressed Sensing: Theory and Applications (Cambridge, UK
JA Urigiien, YC Eldar, PL Dragotti
Cambridge Univ. Press) p148, 2012
52012
Electroencephalogram artifact removal-validation
JA Urigüen, B García
Journal of Medical Imaging and Health Informatics 7 (1), 174-180, 2017
42017
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
42013
Exact and approximate strang-fix conditions to reconstruct signals with finite rate of innovation from samples taken with arbitrary kernels
JA Uriguen Garaizabal
Imperial College London, 2013
42013
Method and apparatus for estimating a frequency domain representation of a signal
JA Uriguen, PL Dragotti, TAJ Blu
US Patent 10,090,872, 2018
2018
Approximate FRI with Arbitrary Kernels
JA Urigüen, PL Dragotti, T Blu
Proceedings of the 10th International Conference on Sampling Theory and …, 2013
2013
Exponential Reproducing Kernels for Sparse Sampling
JA Urigüen, PL Dragotti, T Blu
2011
EEG artifact removal--Validation
JA Urigüen, B García
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Articles 1–16