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[1]
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Bayesian inference for amplitude distribution with application to radar clutter
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Digital Signal Processing,
2024 |
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[2]
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A Fast and Simple Algorithm for computing MLE of the Amplitude Density Function Parameters
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IEEE Signal Processing Letters,
2024 |
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[3]
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Integrated X Band Active Phased Array Radar for Maritime Surveillance
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2021 2nd …,
2021 |
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[4]
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SUPERVISED CLASSIFICATION OF RADAR TARGETS USING THE MOMENTS SPACE
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…,
2021 |
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[5]
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Estimation et détection des signaux radar pour la surveillance maritime.
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2020 |
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[6]
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海杂波背景下雷达目标特征检测方法的现状与展望
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雷达学报,
2020 |
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[7]
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A Generalized Gaussian Extension to the Rician Distribution for SAR Image Modeling
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2020 |
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[8]
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Modelling Sea Clutter In Sar Images Using Laplace-Rician Distribution
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2020 |
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[9]
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Status and prospects of feature-based detection methods for floating targets on the sea surface
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2020 |
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[10]
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MODELLING SEA CLUTTER IN SAR IMAGES BASED ON LAPLACE-RICIAN DISTRIBUTION
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2020 |
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[11]
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Overview and prospects of radar sea clutter measurement experiments
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雷达学报,
2019 |
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[12]
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Procesamiento CFAR Estable ante Variaciones Estadísticas de la Amplitud del Clutter Marino
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2019 |
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[13]
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Factores de ajuste óptimos para procesadores CFAR de ventana deslizante operando en clutter log-weibullDeslizante operando en Clutter Log-Weibull
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2019 |
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[14]
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雷达海杂波测量试验回顾与展望
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雷达学报,
2019 |
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[15]
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Fast selection of the sea clutter preferential distribution with neural networks
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Engineering Applications of Artificial Intelligence,
2018 |
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[16]
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Modelación de las distribuciones weibull y log-normal para aplicaciones de radar
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2018 |
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[17]
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Radar detection in the moments space of the scattered signal parameters
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Digital Signal Processing,
2018 |
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[18]
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Modelación de distribuciones novedosas para la representación del Clutter de Radar
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Entramado,
2017 |
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[19]
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Statistical modeling of the texture of sea clutter in Matlab
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Tecnura?,
2017 |
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[20]
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Modelación estadística de la textura del clutter marino en Matlab
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Tecnura?,
2017 |
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[21]
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Implementación en VHDL de Procesador de Promediación Adaptado a Cambios Estadísticos en Clutter Weibull
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2017 |
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[22]
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Modelación de Distribuciones Compuestas Relacionadas a Clutter Marino de Ángulo Rasante Medio y Alto
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2017 |
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[23]
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Una aproximación neuronal al reconocimiento del parámetro de forma de la distribución K asociada a Clutter Marino
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2017 |
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[24]
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Modeling Innovative Distributions for Radar Clutter Representation
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2017 |
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[25]
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Cell Averaging CFAR Detector with Scale Factor Correction through the Method of Moments for the Log-Normal Distribution
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2017 |
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[26]
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Distribuciones estadísticas para modelar clutter marino: una revisión
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2017 |
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[27]
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Estimation of the Optimal CA-CFAR Threshold Multiplier in Pareto Clutter with Known Parameters
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Entramado?,
2017 |
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[28]
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Estimación del Multiplicador Óptimo del Umbral CA-CFAR en Clutter Pareto de Parámetros Conocidos
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2017 |
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[29]
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CA-CFAR Adjustment Factor Correction with a priori Knowledge of the Clutter Distribution Shape Parameter
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2017 |
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[30]
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A Neural Network Approach to the Recognition of the K Distribution Shape Parameter associated with Sea Clutter
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2017 |
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[31]
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CA-CFAR Adjustment Factor Correction with a priori Knowledge of the Clutter Distribution Shape Parameter.
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2017 |
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[32]
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Una aproximación neuronal al reconocimiento del parámetro de forma de la distribución K asociada a Clutter Marino.
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Ingeniería,
2017 |
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[33]
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Selección óptima del factor de ajuste CA-CFAR para clutter marino de potencia K estadísticamente variable
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2016 |
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[34]
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Improved Shape Parameter Estimation in K Clutter with Neural Networks and Deep Learning
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International Journal of Interactive Multimedia and Artificial Inteligence,
2016 |
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[35]
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Optimal Selection of the CA-CFAR Adjustment Factor for K Power Sea Clutter with Statistical Variations
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2016 |
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[36]
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Implementación de un detector de promediación de clutter (CA-CFAR) usando VHDL
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2016 |
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[37]
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Modelación de la Distribución K en MATLAB para Aplicaciones de Radar
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2016 |
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[38]
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Modelación de las Distribuciones Rayleigh y Exponencial en MATLAB para Aplicaciones de Radar
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2016 |
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[39]
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Improved Shape Parameter Estimation in Pareto Distributed Clutter with Neural Networks
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2016 |
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[40]
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Modelación de la distribución gamma en matlab para aplicaciones de radar/Modeling the gamma distribution in matlab for radar aplications
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2016 |
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[41]
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Modelación de la distribución gamma en matlab para aplicaciones de radar
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2016 |
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[42]
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Implementation of an Algorithm for the Estimation of the Sea Clutter Distribution and Parameters
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2016 |
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[43]
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Estimation of the relation between weibull sea clutter and the ca-cfar scale factor
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2015 |
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[44]
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Estimation of the Relation between Weibull Distributed Sea Clutter and the CA-CFAR Scale Factor
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Journal of Tropical Engineering,
2015 |
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[45]
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A Neural Network Approach to Weibull Distributed Sea Clutter Parameter's Estimation
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Inteligencia artificial: Revista Iberoamericana de Inteligencia Artificial,
2015 |
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[46]
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arquitectura de integración de WI-FI con las redes móviles de datos
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2015 |
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[47]
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Modelos de inventarios con productos perecederos: revision de literatura/Inventory models with deteriorating items: A literature review
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2014 |
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[48]
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Основные характеристики морского клатера, влияющие на обнаружение малоразмерных малоподвижных целей морскими РЛС
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2013 |
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[49]
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Clasificación del clutter marino utilizando redes neuronales artificiales
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Ingeniería Electrónica, Automática y Comunicaciones,
2013 |
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