Article · Wikipedia archive·Last revised Jun 1, 2026
Meyer wavelet
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
Meyer scale function (numerically computed) source ↗
The Meyer scaling function is given by
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) source ↗
Closed expressions
Valenzuela and de Oliveira 5 give the explicit expressions of Meyer wavelet and scale functions:
and
where
References
References
Meyer, Yves (1990). Ondelettes et opérateurs: Ondelettes. Hermann. ISBN9782705661250.
Xu, L.; Zhang, D.; Wang, K. (2005). "Wavelet-based cascaded adaptive filter for removing baseline drift in pulse waveforms". IEEE Transactions on Biomedical Engineering. 52 (11): 1973–1975. doi:10.1109/tbme.2005.856296. hdl:10397/193. PMID16285403. S2CID6897442.
Abbasion, S.; et al. (2007). "Rolling element bearings multi-fault classification based on the wavelet denoising and support vector machine". Mechanical Systems and Signal Processing. 21 (7): 2933–2945. Bibcode:2007MSSP...21.2933A. doi:10.1016/j.ymssp.2007.02.003.
Valenzuela, Victor Vermehren; de Oliveira, H. M. (2015). "Close expressions for Meyer Wavelet and Scale Function". Anais de XXXIII Simpósio Brasileiro de Telecomunicações. p. 4. arXiv:1502.00161. doi:10.14209/SBRT.2015.2. S2CID88513986.