The Meyer wavelet is an orthogonal wavelet proposed by Yves Meyer. As a type of a continuous wavelet, it has been applied in a number of cases, such as in adaptive filters, fractal random fields, and multi-fault classification. The Meyer wavelet is infinitely differentiable with infinite support and defined in frequency domain in terms of function as where There are many different ways for defining this auxiliary function, which yields variants of the Meyer wavelet.For instance, another standard implementation adopts The Meyer scale function is given by
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| - Meyerova vlnka (cs)
- Meyer wavelet (en)
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| - Meyerova vlnka je ortogonální symetrická vlnka podobná Shannonově vlnce. Na rozdíl od ní však nedělí spektrum tak ostře. Existuje i její diskrétní aproximace. Vlnku lze použít pro CWT i DWT. Obvykle se počítá ve frekvenční oblasti. Vlastnosti:
* symetrická
* ortogonální, biortogonální
* nemá kompaktní nosič (diskrétní aproximace má) (cs)
- The Meyer wavelet is an orthogonal wavelet proposed by Yves Meyer. As a type of a continuous wavelet, it has been applied in a number of cases, such as in adaptive filters, fractal random fields, and multi-fault classification. The Meyer wavelet is infinitely differentiable with infinite support and defined in frequency domain in terms of function as where There are many different ways for defining this auxiliary function, which yields variants of the Meyer wavelet.For instance, another standard implementation adopts The Meyer scale function is given by (en)
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| - Meyerova vlnka je ortogonální symetrická vlnka podobná Shannonově vlnce. Na rozdíl od ní však nedělí spektrum tak ostře. Existuje i její diskrétní aproximace. Vlnku lze použít pro CWT i DWT. Obvykle se počítá ve frekvenční oblasti. Vlastnosti:
* symetrická
* ortogonální, biortogonální
* nemá kompaktní nosič (diskrétní aproximace má) (cs)
- The Meyer wavelet is an orthogonal wavelet proposed by Yves Meyer. As a type of a continuous wavelet, it has been applied in a number of cases, such as in adaptive filters, fractal random fields, and multi-fault classification. The Meyer wavelet is infinitely differentiable with infinite support and defined in frequency domain in terms of function as where There are many different ways for defining this auxiliary function, which yields variants of the Meyer wavelet.For instance, another standard implementation adopts The Meyer scale function is given by In the time domain, the waveform of the Meyer mother-wavelet has the shape as shown in the following figure: (en)
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