Anzeige
Erschienen in:
2008 | OriginalPaper | Buchkapitel
Computational Model for Aircraft’s Takeoffs Pattern Recognition
verfasst von : Arturo Rojo Ruiz, Luis P. Sánchez Fernandez, Edgardo Felipe-Riverón, Sergio Suárez Guerra
Erschienen in: Progress in Pattern Recognition, Image Analysis and Applications
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
This paper presents a novel computational multimodal model designed for pattern recognition of aircrafts’ noise in real environments; with an 88.5% of effectiveness, it considers 13 different categories of aircrafts. This method includes measurements of signals of the noise produced during the takeoff at 25,000 samples per second and with a resolution of 24 bits, an spectral analysis made by means of an autoregressive model, an octave analysis, a normalization method created specifically for this work and two feed-forward neural networks. All the signals used for the design and evaluation of the results were obtained by means of field measurements.