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Noise pattern recognition of airplanes taking off: task for a monitoring system

Published: 13 November 2007 Publication History

Abstract

This paper presents an original work for aircraft noise monitoring systems and it analyzes the airplanes noise signals and a method to identify them. The method uses processed spectral patterns and a neuronal network feed-forward, programmed by means of virtual instruments. The obtained results, very useful in portable systems, make possible to introduce redundancy to permanent monitoring systems. The noise level in a city has fluctuations between 50 dB (A) and 100 dB (A). It depends on the population density and its activity, commerce and services in the public thoroughfare, terrestrial and aerial urban traffic, of the typical activities of labor facilities and used machinery, which give varied conditions that must be faced of diverse ways within the corresponding normalization. The sounds or noises that exceed the permissible limits, whichever the activities or causes that originate them, are considered events susceptible to degrade the environment and the health.

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Cited By

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  • (2015)Dynamic hierarchical aggregation of parallel outputs for aircraft take-off noise identificationEngineering Applications of Artificial Intelligence10.1016/j.engappai.2015.08.00246:PA(33-42)Online publication date: 1-Nov-2015
  • (2010)Special hardware concatenations for the design of a high dynamic range ADCProceedings of the European conference of systems, and European conference of circuits technology and devices, and European conference of communications, and European conference on Computer science10.5555/1961414.1961445(183-188)Online publication date: 30-Nov-2010
  • (2010)Urban noise permanent monitoring and pattern recognitionProceedings of the European conference of systems, and European conference of circuits technology and devices, and European conference of communications, and European conference on Computer science10.5555/1961414.1961439(143-148)Online publication date: 30-Nov-2010
  1. Noise pattern recognition of airplanes taking off: task for a monitoring system

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    Information & Contributors

    Information

    Published In

    cover image Guide Proceedings
    CIARP'07: Proceedings of the Congress on pattern recognition 12th Iberoamerican conference on Progress in pattern recognition, image analysis and applications
    November 2007
    967 pages
    ISBN:354076724X
    • Editors:
    • Luis Rueda,
    • Domingo Mery,
    • Josef Kittler

    Sponsors

    • AChiRP: Chilean Association for Pattern Recognition
    • USM: Technical University Federico Santa María
    • 3IE: The International Institute for Innovation and Entrepreneurship
    • USACH: University of Santiago de Chile
    • SEPARI: The Southeastern Pacific Research Institute for Advanced Technologies

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    Springer-Verlag

    Berlin, Heidelberg

    Publication History

    Published: 13 November 2007

    Author Tags

    1. aircraft
    2. monitoring
    3. noise
    4. pattern
    5. recognition

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    Cited By

    View all
    • (2015)Dynamic hierarchical aggregation of parallel outputs for aircraft take-off noise identificationEngineering Applications of Artificial Intelligence10.1016/j.engappai.2015.08.00246:PA(33-42)Online publication date: 1-Nov-2015
    • (2010)Special hardware concatenations for the design of a high dynamic range ADCProceedings of the European conference of systems, and European conference of circuits technology and devices, and European conference of communications, and European conference on Computer science10.5555/1961414.1961445(183-188)Online publication date: 30-Nov-2010
    • (2010)Urban noise permanent monitoring and pattern recognitionProceedings of the European conference of systems, and European conference of circuits technology and devices, and European conference of communications, and European conference on Computer science10.5555/1961414.1961439(143-148)Online publication date: 30-Nov-2010

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