Title :
A self-organizing map based solution to the automatic detection of meteor echoes in radio recordings
Author :
Roman, Victor Stefan ; Buiu, Catalin
Author_Institution :
Dept. of Autom. Control & Syst. Eng., Politeh. Univ. of Bucharest, Bucharest, Romania
Abstract :
A novel automatic meteor detection approach, using a self-organizing map type of artificial neural network is presented in this paper. The proposed solution aims at analyzing a given dataset and extracting the meteor signals present in it. For this, a self-organizing map is trained using radio recordings. This neural network will then be used on a test dataset to check the performances of the proposed approach.
Keywords :
echo; geophysical signal processing; meteors; self-organising feature maps; signal detection; artificial neural network; meteor echoes; novel automatic meteor detection approach; radio recordings; self-organizing map based solution; Artificial neural networks; Neurons; Organizing; Spectrogram; Training; Visualization; Automatic meteor detection; Self-organizing map;
Conference_Titel :
Electronics, Computers and Artificial Intelligence (ECAI), 2014 6th International Conference on
Print_ISBN :
978-1-4799-5478-0
DOI :
10.1109/ECAI.2014.7090152
