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
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.(2011). Total Variation Regularization for Poisson Vector-Valued Image Restoration with a Spatially Adaptive Regularization Parameter Selection. En IEEE Symposium on Image and Signal Processing and Analysis (ISPA). (pp. 402 - 407). DOBROVNIK. IEEE.
Bourgeois, P.; RODRIGUEZ, P. A.; Ragot, N.(2011). Unwrapping Catadioptric Images via Total Variation Regularization. En IEEE International Symposium on Robotic and Sensors Environments (ROSE). (pp. 220 - 225). MONTREAL. IEEE. Recuperado de: http://sites.google.com/a/istec.net/prodrig/Home/pubs
RODRIGUEZ, P. A.(2010). A Non-negative Quadratic Programming approach to Minimize the Generalized Vector-Valued Total Variation Functiona.
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.; Murray, V.; Pattichis, M.(2010). A Regularized Optimization Approach for AM-FM Reconstructions. En 2010 Asilomar Conference on Signals, Systems, and Computers. (pp. 219 - 221). PACIFIC GROVE. IEEE SPS. Recuperado de: http://dx.doi.org/10.1109/ACSSC.2010.5757502
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.
