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  • Hyperbolic time-frequency power spectrum

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    55750_1.pdf (315.0Kb)
    Author(s)
    N. Le, Khoa
    P. Dabke, Kishor
    K. Egan, Gregory
    Griffith University Author(s)
    Le, Khoa N.
    Year published
    2003
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    Abstract
    A new hyperbolic kernel and hyperbolic wavelet are presented along with their applications in signal detection and signal analysis. Comparisons are made between the hyperbolic kernel and highly-regarded Choi-Williams kernel. Applications of the hyperbolic kernel are outlined. Parallel computing is used to calculate the bispectrum and time-frequency power spectrum with encouraging results. Up-to-date applications of time-frequency power spectra are discussed.A new hyperbolic kernel and hyperbolic wavelet are presented along with their applications in signal detection and signal analysis. Comparisons are made between the hyperbolic kernel and highly-regarded Choi-Williams kernel. Applications of the hyperbolic kernel are outlined. Parallel computing is used to calculate the bispectrum and time-frequency power spectrum with encouraging results. Up-to-date applications of time-frequency power spectra are discussed.
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    Conference Title
    Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology,
    Publisher URI
    http://ieeexplore.ieee.org/xpl/tocresult.jsp?isnumber=29546&isYear=2003
    DOI
    https://doi.org/10.1109/ISSPIT.2003.1341218
    Copyright Statement
    © 2004 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
    Subject
    Signal Processing
    Publication URI
    http://hdl.handle.net/10072/24587
    Collection
    • Conference outputs

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