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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 94 publicaciones

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.
RODRIGUEZ, P. A.(2011). NonConvex Total Variation Speckled Image Restoration via Nonnegative Quadratic Programming Algorithm. En European Signal Processing Conference (EUSIPCO). (pp. 288 - 292). BARCELONA. EURASIP.
RODRIGUEZ, P. A.(2011). NonConvex Total Variation Speckled Image Restoration via Nonnegative Quadratic Programming Algorithm. En European Signal Processing Conference (EUSIPCO). (pp. 288 - 292). BARCELONA. EURASIP. Recuperado de: http://sites.google.com/a/istec.net/prodrig/Home/pubs
RODRIGUEZ, P. A.(2010). Multi-scale AM-FM Demodulation and Image Reconstruction Methods with Improved Accuracy. IEEE Transactions on Image Processing. Volumen: 19. (pp. 1138 - 1152). Recuperado de: http://dx.doi.org/10.1109/TIP.2010.2040446
RODRIGUEZ, P. A.(2010). Multiplicative Updates Algorithm to Minimize the Generalized Total Variation Functional with a Non-negativity Constraint.
RODRIGUEZ, P. A.(2010). Multiplicative Updates Algorithm to Minimize the Generalized Total Variation Functional with a Non-negativity Constraint. En IEEE International Conference on Image Processing (ICIP). (pp. 2509 - 2512). HONG KONG. IEEE.
RODRIGUEZ, P. A.(2010). A Non-negative Quadratic Programming approach to Minimize the Generalized Vector-Valued Total Variation Functional. En European Signal Processing Conference (EUSIPCO). (pp. 314 - 318). AALBORG. EURASIP.
RODRIGUEZ, P. A.(2010). A Non-negative Quadratic Programming approach to Minimize the Generalized Vector-Valued Total Variation Functiona.