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
Silva, G. y RODRIGUEZ, P. A.(2018). Efficient Algorithm for Convolutional Dictionary Learning via Accelerated Proximal Gradient Consensus. En IEEE International Conference on Image Processing (ICIP). (pp. 3978 - 3982). IEEE. Recuperado de: https://doi.org/10.1109/ICIP.2018.8451585
Silva, G. y RODRIGUEZ, P. A.(2018). Efficient Convolutional Dictionary Learning Using Partial Update Fast Iterative Shrinkage-Thresholding Algorithm. En International Conference on Acoustics, Speech and Signal Processing (ICASSP). (pp. 4674 - 4678). IEEE. Recuperado de: https://doi.org/10.1109/ICASSP.2018.8462305
RODRIGUEZ, P. A.(2009). Efficient Minimization Method for a Generalized total variation functional. IEEE Transactions on Image Processing Vol 18 Nª 2 Febrero 2009. Volumen: 18. (pp. 322 - 332). Recuperado de: http://dx.doi.org/10.1109/TIP.2008.2008420
RODRIGUEZ, P. A.; Rodriguez, P.; Wohlberg, B.(2007). Efficient Minimization Method for a Generalized Total Variation Functional.
Chau, G.; Wohlberg, B.; RODRIGUEZ, P. A.(2019). Efficient projection onto the l_infty,1 mixed-norm ball using a newton root search method. SIAM Journal on Imaging Sciences. Volumen: 12. (pp. 604 - 623). Recuperado de: https://doi.org/10.1137/18M1212525
Silva, G.; Quesada, J.; RODRIGUEZ, P. A.(2018). Efficient separable filter estimation using rank-1 convolutional dictionary learning. En IEEE International Workshop on Machine Learning for Signal Processing, MLSP. (pp. 1 - 6). IEEE. Recuperado de: https://doi.org/10.1109/MLSP.2018.8517082
Chahuara, H. y RODRIGUEZ, P. A.(2023). Enhancing safe screening rules with adaptive thresholding for non-overlapping group sparse norm regularized problems. International Conference on Digital Signal Processing.
RODRIGUEZ, P. A.(1997). ESTIMACION DEL TIEMPO DE RETARDO DE ARRIBO DE ECOS REFLEJADOS USANDO TECNICAS DE PRE-FILTRADO EN EL DOMINIO DE LOS WAVELETS Y TECNICAS DE CORRELACION.
