An intelligent air-noise recognition system is described that uses pattern recognition techniques to distinguish noise signatures of five different types of acoustic sources, including jet planes, propeller planes, a helicopter, train, and wind turbine. Information for classification is calculated using the power spectral density and autocorrelation taken from the output of a single microphone. Using this system, as many as 90 percent of test recordings were correctly identified, indicating that the linear discriminant functions developed can be used for aerospace source identification.


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    Titel :

    A smart pattern recognition system for the automatic identification of aerospace acoustic sources


    Beteiligte:
    Cabell, R. H. (Autor:in) / Fuller, C. R. (Autor:in)

    Erscheinungsdatum :

    01.04.1989


    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Keine Angabe


    Sprache :

    Englisch


    Schlagwörter :