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Morlet wavelet&o=10616

Morlet wavelet

In mathematics, the Morlet wavelet, named after Jean Morlet, was originally formulated by Goupillaud, Grossmann and Morlet in 1984 as a constant kappa_{sigma} subtracted from a plane wave and then localised by a Gaussian:

Psi_{sigma}(t)=c_{sigma}pi^{-frac{1}{4}}e^{-frac{1}{2}t^{2}}(e^{isigma t}-kappa_{sigma})

where kappa_{sigma}=e^{-frac{1}{2}sigma^{2}} is defined by the admissibility criterion and the normalisation constant c_{sigma} is:

c_{sigma}=left(1+e^{-sigma^{2}}-2e^{-frac{3}{4}sigma^{2}}right)^{-frac{1}{2}}

The Fourier transform of the Morlet wavelet is:

hat{Psi}_{sigma}(omega) = c_sigma pi^{-frac{1}{4}} left(e^{-frac{1}{2}(sigma-omega)^2} - kappa_sigma e^{-frac{1}{2}omega^{2}} right)

The "central frequency" omega_{Psi} is the position of the global maximum of hat{Psi}_{sigma}(omega) which, in this case, is given by the solution of the equation:

(omega_{Psi}-sigma)^{2}-1=(omega_{Psi}^{2}-1)e^{-sigmaomega_{Psi}}

The parameter sigma in the Morlet wavelet allows trade between time and frequency resolutions. Conventionally, the restriction sigma>5 is used to avoid problems with the Morlet wavelet at low sigma (high temporal resolution).

For signals containing only slowly varying frequency and amplitude modulations (audio, for example) it is not necessary to use small values of sigma. In this case, kappa_{sigma} becomes very small (e.g. sigma>5 quad Rightarrow quad kappa_{sigma}<10^{-5},) and is, therefore, often neglected. Under the restriction sigma>5, the frequency of the Morlet wavelet is conventionally taken to be omega_{Psi}simeqsigma.

References

  • P. Goupillaud, A. Grossman, and J. Morlet. Cycle-Octave and Related Transforms in Seismic Signal Analysis. Geoexploration, 23:85-102, 1984
  • N. Delprat, B. Escudié, P. Guillemain, R. Kronland-Martinet, P. Tchamitchian, and B. Torrésani. Asymptotic wavelet and Gabor analysis: extraction of instantaneous frequencies. IEEE Trans. Inf. Th., 38:644-664, 1992

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