"Suppression of Log-Normal Distributed Weather Clutter Observed by an S-Band Radar"
written by Shuji Sayama, Seishiro Ishii,
published by Wireless Engineering and Technology, Vol.4 No.3, 2013
has been cited by the following article(s):
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[1] Factores de ajuste óptimos para procesadores CFAR de ventana deslizante operando en clutter log-weibullDeslizante operando en Clutter Log-Weibull
2019
[2] Procesamiento CFAR Estable ante Variaciones Estadísticas de la Amplitud del Clutter Marino
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[3] Modelación de las distribuciones weibull y log-normal para aplicaciones de radar
2018
[4] Fast selection of the sea clutter preferential distribution with neural networks
Engineering Applications of Artificial Intelligence, 2018
[5] Modelación de distribuciones novedosas para la representación del Clutter de Radar
Entramado, 2017
[6] Statistical modeling of the texture of sea clutter in Matlab
Tecnura?, 2017
[7] Modelación estadística de la textura del clutter marino en Matlab
Tecnura?, 2017
[8] Implementación en VHDL de Procesador de Promediación Adaptado a Cambios Estadísticos en Clutter Weibull
2017
[9] Modelación de Distribuciones Compuestas Relacionadas a Clutter Marino de Ángulo Rasante Medio y Alto
2017
[10] Cell Averaging CFAR Detector with Scale Factor Correction through the Method of Moments for the Log-Normal Distribution
2017
[11] Distribuciones estadísticas para modelar clutter marino: una revisión
2017
[12] A Neural Network Approach to the Recognition of the K Distribution Shape Parameter associated with Sea Clutter
2017
[13] CA-CFAR Adjustment Factor Correction with a priori Knowledge of the Clutter Distribution Shape Parameter
2017
[14] Una aproximación neuronal al reconocimiento del parámetro de forma de la distribución K asociada a Clutter Marino
2017
[15] Modeling Innovative Distributions for Radar Clutter Representation
2017
[16] Revisión de los detectores CFAR de ventana deslizante
2017
[17] CA-CFAR Adjustment Factor Correction with a priori Knowledge of the Clutter Distribution Shape Parameter.
2017
[18] Implementation of an Algorithm for the Estimation of the Sea Clutter Distribution and Parameters
2016
[19] Implementación de un detector de promediación de clutter (CA-CFAR) usando VHDL
2016
[20] Improved Shape Parameter Estimation in K Clutter with Neural Networks and Deep Learning
International Journal of Interactive Multimedia and Artificial Inteligence, 2016
[21] Estimation of the relation between weibull sea clutter and the ca-cfar scale factor
Journal of Tropical Engineering, 2015
[22] АНАЛИЗ ОБНАРУЖИТЕЛЯ LOG-CFAR С ЦИФРОВЫМ АДАПТИВНЫМ ПОРОГОМ ОБНАРУЖЕНИЯ НА ФОНЕ МОРСКИХ ПОМЕХ
ЖУРНАЛ РАДИОЭЛЕКТРОНИКИ,N2, 2015
[23] Estimation of the Relation between Weibull Distributed Sea Clutter and the CA-CFAR Scale Factor
Journal of Tropical Engineering, 2015
[24] A Neural Network Approach to Weibull Distributed Sea Clutter Parameter's Estimation
Iberoamerican Journal of Artificial Intelligence, 2015
[25] A Neural Network Approach to Weibull Distribution Sea Clutter Parameters Estimation
Inteligencia Artificial. Revista Iberoamericana de Inteligencia Artificial, 2015
[26] IMPLEMENTACIÓN DEL DETECTOR DE PROMEDIACIÓN DE CLUTTER (CA-CFAR) USANDO VHDL