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 language | English |
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Pages (from-to) | 405-415 |
Number of pages | 11 |
Journal | Journal of Sound and Vibration |
Volume | 321 |
Issue number | 45323 |
DOIs | |
Publication status | Published - 2009 |
Keywords
- exponential functions
- noise
- signal processing
- wavelets (mathematics)