Radial function based kernel design for time-frequency distributions

Sandun Kodituwakku*, Rodney A. Kennedy, Thushara D. Abhayapala

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    5 Citations (Scopus)


    A framework based on the $n$ -dimensional Fourier transform of a radially symmetric function is introduced to design kernels for Cohen time-frequency distributions. Under this framework, we derive a kernel formula which generalizes and unifies MargenauHill, BornJordan, and Bessel distributions, using a realization based on a n-dimensional radial delta function. The higher order radial kernels suppress more cross-term energy compared with existing lower order kernels, which is illustrated by the time-frequency analysis of atrial fibrillation from surface electro cardiogram data.

    Original languageEnglish
    Article number5419964
    Pages (from-to)3395-3400
    Number of pages6
    JournalIEEE Transactions on Signal Processing
    Issue number6
    Publication statusPublished - Jun 2010


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