Kaiser window based kernel for time-frequency distributions

S. Kodituwakku*, R. A. Kennedy, T. D. Abhayapala

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    3 Citations (Scopus)

    Abstract

    A novel sinhc kernel, which generates a Kaiser window based time-frequency distribution for non-stationary signal analysis is introduced. The Kaiser distribution belongs to the Cohen class of time-frequency distributions, and satisfies desirable distribution properties. By controlling the shape of the Kaiser window, auto-term resolutions and cross-term magnitudes can be successfully traded.

    Original languageEnglish
    Pages (from-to)235-236
    Number of pages2
    JournalElectronics Letters
    Volume45
    Issue number4
    DOIs
    Publication statusPublished - 2009

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