• Login
    View Item 
    •   Scholarship Repository at Florida Tech
    • College of Engineering
    • Electrical and Computer Engineering
    • Publications
    • View Item
    •   Scholarship Repository at Florida Tech
    • College of Engineering
    • Electrical and Computer Engineering
    • Publications
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Pattern classification approach to underwater acoustic communications based on the Wigner-Ville distribution

    Thumbnail
    View/Open
    Publication PDF (1.331Mb)
    Date
    2000-07-26
    Author
    Caimi, Frank M.
    Hassan, Gamal A.
    Metadata
    Show full item record
    Abstract
    This paper describes an approach and preliminary results associated with the use of pattern recognition techniques to identify transmitted information (symbols) in a temporally variant acoustic channel. The method allows the observation of the transmitted signal simultaneously in both time and frequency space and does not necessarily rely on the application of adaptive algorithms for reception. The observation of the symbol energy from the Wigner-Ville Distribution as two-dimensional pattern can allow the determination of channel characteristics over short symbol sequences and can provide a means for symbol detection. For the QPSK modulation used, wavelet filtering provides a basis for noise reduction and WVD cross tem separation. The process used for development of the pattern classifier is described and results are presented for shallow water acoustic data on a limited data set.
    URI
    http://hdl.handle.net/11141/1714
    Collections
    • Publications

    DSpace software copyright © 2002-2015  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    @mire NV
     

     

    Browse

    All of Scholarship RepositoryCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    Statistics

    Most Read ItemsStatistics by CountryMost Read Authors

    DSpace software copyright © 2002-2015  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    @mire NV