Improved Shape Parameter Estimation in Pareto Distributed Clutter with Neural Networks

Author:

Fernández Machado José Raúl,Bacallao Vidal Jesús Concepción

Publisher

Universidad Internacional de La Rioja

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Computer Vision and Pattern Recognition,Statistics and Probability,Signal Processing

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Pareto parameter estimation by merging locally weighted median of multiple neural networks and weighted least squares;Alexandria Engineering Journal;2024-01

2. Robust CFAR Detection for Multiple Targets in K-Distributed Sea Clutter Based on Machine Learning;Symmetry;2019-12-05

3. Fast selection of the sea clutter preferential distribution with neural networks;Engineering Applications of Artificial Intelligence;2018-04

4. CA-CFAR Adjustment Factor Correction with a priori Knowledge of the Clutter Distribution Shape Parameter;International Journal of Interactive Multimedia and Artificial Intelligence;2017

5. Editor's Note;International Journal of Interactive Multimedia and Artificial Intelligence;2016

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