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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

murray, V.; RODRIGUEZ, P. A.; Noriega, M.; Dasso, A.; Patiichis, M.(2015). 2D amplitude-modulation frequency-modulation - based method for motion estimation. En Circuits & Systems (LASCAS), 2015 IEEE 6th Latin American Symposium on . (pp. 1 - 4). IEEE. Recuperado de: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7250484
Murray, V.; RODRIGUEZ, P. A.; Pattichis, M.(2014). 2D Instantaneous Frequency-based Method for Motion Estimation using Total Variation. En IEEE Global Conference on Signal and Information Processing (GlobalSIP). (pp. 1009 - 1013). IEEE. Recuperado de: http://dx.doi.org/10.1109/GlobalSIP.2014.7032273
Murray, V.; Dasso, A.; RODRIGUEZ, P. A.; Pattichis, M.(2016). A 2D amplitude-modulation frequency-modulation representation for motion estimation. En 2016 IEEE Andescon. (pp. 1 - 4). IEEE. Recuperado de: http://ieeexplore.ieee.org/abstract/document/7836204/?reload=true
RODRIGUEZ, P. A. y Wholberg, B.(2012). A Comparison of the Computational Performance of Iteratively Reweighted Least Squares and Alernating Minimization Algorithms for l1 Inverse Problems. En IEEE International Conference on Image Processing. (pp. 3069 - 3072). IEEE. Recuperado de: http://dx.doi.org/10.1109/ICIP.2012.6467548
RODRIGUEZ, P. A. y Wohlberg, B.(2014). A Matlab Implementation of a Fast Incremental Principal Component Pursuit Algorithm for Video Background Modeling. En IEEE International Conference on Image Processing. (pp. 3414 - 3416). IEEE. Recuperado de: http://dx.doi.org/10.1109/ICIP.2014.7025692
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.
ULLOA, A. E.; RODRIGUEZ, P. A.; liu, J.; Calhoun, V.; Pattichis, M.(2014). A Quasi-Local Method for Instantaneous Frequency Estimation with Application to Structural Magnetic Resonance Images. En 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. (pp. 1477 - 1480). IEEE. Recuperado de: http://dx.doi.org/10.1109/EMBC.2014.6943880