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Desarrollo De Modelos Adaptivos Para El Procesamiento Digital De Señales Multiespectrales De Percepción Remota Y Su Implementación Como Software De Alto Desempeño, Dr. Iván Esteban Villalón Turrubiates
Desarrollo De Modelos Adaptivos Para El Procesamiento Digital De Señales Multiespectrales De Percepción Remota Y Su Implementación Como Software De Alto Desempeño, Dr. Iván Esteban Villalón Turrubiates
Iván Esteban Villalón Turrubiates
El Objetivo General de este Proyecto es Investigar y desarrollar nuevos paradigmas computacionales (metodologías y algoritmos) para el procesamiento digital de señales obtenidas por sistemas multiespectrales de percepción remota, por medio de técnicas de inteligencia artificial y computación distribuida para obtener un diseño robusto y adaptivo que pueda ser implementado a nivel software y a nivel hardware.
Aggregation Of Robust Regularization With Dynamic Filtration For Enhanced Radar Imaging, Yuriy V. Shkvarko, Ivan E. Villalon-Turrubiates, Jose L. Leyva-Montiel
Aggregation Of Robust Regularization With Dynamic Filtration For Enhanced Radar Imaging, Yuriy V. Shkvarko, Ivan E. Villalon-Turrubiates, Jose L. Leyva-Montiel
Iván Esteban Villalón Turrubiates
In this paper, we address and discuss a novel look at the high-resolution array radar/SAR imaging as an ill-conditioned inverse spatial spectrum pattern (SSP) estimation problem with model uncertainties. We explain the theory recently developed by the authors of this presentation that addresses a new fused Bayesian-regularization paradigm for radar/SAR image formation/reconstruction. We show how this theory leads to new adaptive and robustified computational methods that enable one to derive efficient and consistent estimates of the SSP via unifying the Bayesian minimum risk estimation strategy with the ME randomized a priori image model and other projection-type regularization constraints imposed on …
Filtration And Enhancement Of Environmental Characteristics Extracted From Sar Imagery Using Dynamic Kalman Technique, Ivan E. Villalon-Turrubiates
Filtration And Enhancement Of Environmental Characteristics Extracted From Sar Imagery Using Dynamic Kalman Technique, Ivan E. Villalon-Turrubiates
Iván Esteban Villalón Turrubiates
In this study, we propose a new computational paradigm based on the use of the Kalman filtering technique adjusted to reconstruct the dynamic behavior of the physical and electrical characteristics of different environmental monitoring data provided via reconstructive SAR imagery. As a matter of particular study we develop and report the Kalman filter-based algorithm for high-resolution filtration of the dynamic behavior of the hydrological indexes of the particular real-world SAR images of the test remotely sensed scenes. The simulation results verify the efficiency of the proposed approach.
Simulation Study Of The Unified Bayesian-Regularization Technique For Enhanced Radar Imaging, Yuriy V. Shkvarko, Ivan E. Villalon-Turrubiates
Simulation Study Of The Unified Bayesian-Regularization Technique For Enhanced Radar Imaging, Yuriy V. Shkvarko, Ivan E. Villalon-Turrubiates
Iván Esteban Villalón Turrubiates
In this paper, we intend to present the results of extended simulation study of the family of the radar image (RI) formation algorithms that employ the recently developed and investigated fused Bayesian-regularization (FBR) paradigm for high-resolution reconstruction of the spatial spectrum pattern (SSP) of the wavefield sources distributed in the remotely sensed environment. The FBR methodology is based on the aggregation of the Bayesian minimum risk statistical optimal estimation strategy with the descriptive weighted constrained least squares optimization technique that involves the non trivial a priori information on the desired properties of the SSP to be reconstructed from the actually …
Comparison Among Booth's And Pekmestzi's Algorithm For The Multiplication Of Two Numbers, I. E. Villalon-Turrubiates, R. Rojas-Laguna, S. Serrano-Arellano, E. Alvarado-Méndez, J. M. Estudillo-Ayala, O. Vite-Chávez
Comparison Among Booth's And Pekmestzi's Algorithm For The Multiplication Of Two Numbers, I. E. Villalon-Turrubiates, R. Rojas-Laguna, S. Serrano-Arellano, E. Alvarado-Méndez, J. M. Estudillo-Ayala, O. Vite-Chávez
Iván Esteban Villalón Turrubiates
A comparison between two different methods of multiplication of two 8-bit numbers is presented. This methods are the Booth’s algorithm and the algorithm proposed by Kiamal Z. Pekmestzi. The general objective is to show the benefits and the advantages obtained if it’s used one of this algorithms over the other. This multipliers have low circuit complexity permitting high-speed operations and the interconnections of the cells are regular. This is the reason why the results shown was obtained using VHDL realization on a FPGA XC4010XL by Xilinx.