Lower-bound on SNR of the nth-order hyperbolic time-frequency kernel

    Research output: Contribution to journalArticlepeer-review

    2 Citations (Scopus)

    Abstract

    An estimate of the lower-bound on signal-to-noise ratio (SNR) of the nth-order hyperbolic time-frequency kernel is given. The effects of kernel parameters such as β, τ, n and a on the SNR are discussed. In particular, the direct relationship between the SNR and auto-term slope a is studied in detail. Conditions under which the lower-bound on SNR is obtained are derived. Preliminary observations on a transfer function model with the auto-term slope a and β as inputs, and lower-bound on SNR as output are given. Possible further work is outlined.
    Original languageEnglish
    Pages (from-to)405-415
    Number of pages11
    JournalJournal of Sound and Vibration
    Volume321
    Issue number45323
    DOIs
    Publication statusPublished - 2009

    Keywords

    • exponential functions
    • noise
    • signal processing
    • wavelets (mathematics)

    Fingerprint

    Dive into the research topics of 'Lower-bound on SNR of the nth-order hyperbolic time-frequency kernel'. Together they form a unique fingerprint.

    Cite this