Listar2016 por tema "artificial neural networks"
Mostrando ítems 1-2 de 2
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Improved Shape Parameter Estimation in K Clutter with Neural Networks and Deep Learning
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2016)The discrimination of the clutter interfering signal is a current problem in modern radars’ design, especially in coastal or offshore environments where the histogram of the background signal often displays heavy tails. ... -
Improved Shape Parameter Estimation in Pareto Distributed Clutter with Neural Networks
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2016)The main problem faced by naval radars is the elimination of the clutter input which is a distortion signal appearing mixed with target reflections. Recently, the Pareto distribution has been related to sea clutter ...
