Aircraft Class Recognition based on Take-off Noise Patterns

Autor:	Luis Alejandro Sanchez Perez, Sergio Suárez Guerra, Luis Pastor Sánchez Fernández
Rok vydání:	2016
Předmět:	General Computer Science Artificial neural network Aircraft noise business.industry Computer science Noise (signal processing) Speech recognition Feature extraction Pattern recognition Georeference Segmentation Artificial intelligence Spectrum analysis business Classifier (UML)
Zdroj:	Computación y Sistemas. 20
ISSN:	2007-9737 1405-5546
DOI:	10.13053/cys-20-4-2429
Popis:	In this work the aircraft class recognition of based on take-off noise patterns is examined. Signal segmentation in time is analyzed as well as using a MLP neural network as the classifier for each segment. Also, several algorithms for decision by committee in order to aggregate the multiple parallel outputs of the classifiersare examined along with feature extraction and selection based on spectrum analysis of the aircraft noise. Also, amethod for georeferenced estimation of the take-off flight path based only on the noise signal is explored. The methodology and results are sustained in the current literature.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::d76216d7a95771bdc0eb840557c3eb44 https://doi.org/10.13053/cys-20-4-2429 Zobrazit plný text záznamu