Meyer wavelet

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Spectrum of the Meyer wavelet (numerically computed).

The Meyer wavelet is an orthogonal wavelet proposed by Yves Meyer.[1] As a type of a continuous wavelet, it has been applied in a number of cases, such as in adaptive filters,[2] fractal random fields,[3] and multi-fault classification.[4]

The Meyer wavelet is infinitely differentiable with infinite support and defined in frequency domain in terms of function ν as

Ψ(ω):={12πsin⁡(π2ν(3|ω|2π−1))ejω/2if 2π/3<|ω|<4π/3,12πcos⁡(π2ν(3|ω|4π−1))ejω/2if 4π/3<|ω|<8π/3,0otherwise,

where

ν(x):={0if x<0,xif 0<x<1,1if x>1.

There are many different ways for defining this auxiliary function, which yields variants of the Meyer wavelet. For instance, another standard implementation adopts

ν(x):={x4(35−84x+70x2−20x3)if 0<x<1,0otherwise.
Meyer scale function (numerically computed)

The Meyer scaling function is given by

Φ(ω):={12πif |ω|<2π/3,12πcos⁡(π2ν(3|ω|2π−1))if 2π/3<|ω|<4π/3,0otherwise.

In the time domain, the waveform of the Meyer mother-wavelet has the shape as shown in the following figure:

waveform of the Meyer wavelet (numerically computed)

Closed expressions

Valenzuela and de Oliveira [5] give the explicit expressions of Meyer wavelet and scale functions:

ϕ(t)={23+43πt=0,sin⁡(2π3t)+43tcos⁡(4π3t)πt−16π9t3otherwise,

and

ψ(t)=ψ1(t)+ψ2(t),

where

ψ1(t)=43π(t−12)cos⁡[2π3(t−12)]−1πsin⁡[4π3(t−12)](t−12)−169(t−12)3,
ψ2(t)=83π(t−12)cos⁡[8π3(t−12)]+1πsin⁡[4π3(t−12)](t−12)−649(t−12)3.

References

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