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PAUL ANTONIO RODRIGUEZ VALDERRAMA

PAUL ANTONIO RODRIGUEZ VALDERRAMA

PAUL ANTONIO RODRIGUEZ VALDERRAMA

Doctor of Philosophy, UNIVERSITY OF NEW MEXICO

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Master of Science Electrical Engineering (UNIVERSITY OF NEW MEXICO)

Ingeniero Electrónico
DOCENTE ORDINARIO - PRINCIPAL
Tiempo parcial por asignaturas (TPA)
Departamento Académico de Ingeniería - Sección Electricidad y Electrónica

Publicaciones

Se encontraron 102 publicaciones

RODRIGUEZ, P. A.(2020). Robustifying FISTA via the infinity norm of its smooth component's gradient. En Asilomar Conference on Signals, Systems, and Computers. (pp. 341 - 344). IEEE. Recuperado de: https://doi.org/10.1109/IEEECONF51394.2020.9443517
Silva, G. y RODRIGUEZ, P. A.(2021). Robustifying stability of the Fast iterative shrinkage thresholding algorithm for ℓ1 regularized problems. En European Signal Processing Conference . (pp. 1 - 5). IEEE. Recuperado de: https://ieeexplore.ieee.org/document/9616324
gustavo, S. y RODRIGUEZ, P. A.(2021). Robustifying stability of the Fast iterative shrinkage thresholding algorithm for ℓ1 regularized problems. European Signal Processing Conference.
Quesada, J.; RODRIGUEZ, P. A.; Wohlberg, B.(2018). Separable Dictionary Learning for Convolutional Sparse Coding via Split Updates. En International Conference on Acoustics, Speech and Signal Processing (ICASSP). (pp. 4094 - 4098). IEEE. Recuperado de: https://doi.org/10.1109/ICASSP.2018.8461884
Ormachea, J.; Rojas, R.; RODRIGUEZ, P. A.; Lavarello, R.; Parker, K.(2014). Shear Wave Speed Estimation from Crawling Waves Sonoelastography. A comparison between AM-FM dominant component analysis and Phase Derivation Methods. En IEEE International Ultrasonics Symposium (IUS). (pp. 2327 - 2330). IEEE. Recuperado de: http://dx.doi.org/10.1109/ULTSYM.2014.0580
RODRIGUEZ, P. A.(2011). Spatially Adaptive Total Variation Image Denoising Under Salt And Pepper Noise. En European Signal Processing Conference (EUSIPCO). (pp. 278 - 282). BARCELONA. EURASIP.
ROJAS, R. A. y RODRIGUEZ, P. A.(2011). Spatially Adaptive Total Variation Image Denoising Under Salt And Pepper Noise. En European Signal Processing Conference (EUSIPCO). (pp. 278 - 282). BARCELONA. EURASIP. Recuperado de: http://sites.google.com/a/istec.net/prodrig/Home/pubs
RODRIGUEZ, P. A.(2013). Total Variation Regularization Algorithms for Images Corrupted With Different Noise Models: A Review. Journal of Electrical and Computer Engineering. Volumen: 2013. (pp. 1 - 18). Recuperado de: http://dx.doi.org/10.1155/2013/217021