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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
6432015
FRI sampling with arbitrary kernels
JA Urigüen, T Blu, PL Dragotti
IEEE Transactions on Signal Processing 61 (21), 5310 - 5323, 2013
1132013
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
382012
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
252011
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
212017
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
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
Electroencephalogram artifact removal-validation
JA Urigüen, B Garcia
Journal of Medical Imaging and Health Informatics 7 (1), 174-180, 2017
52017
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
EEG artifact removal—validation
JA Uriguen, B García
J Med Imag Health Inform 6, 30360-30652, 2018
12018
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
Comparing EEG background activity of epileptic patients and control subjects using spectral entropy and permutation-based statistical testing
JA Urigüen, JA González-Granda, J Iriarte, M Valencia, BG García
Ingeniando la medicina del futuro. XXXIII Congreso Anual de la Sociedad …, 2015
2015
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
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Articles 1–15