Wavelet series
From Wikipedia, the free encyclopedia
In mathematics, a wavelet series is a representation of a square-integrable (real or complex valued) function by a certain orthonormal series generated by a wavelet. This article provides a formal, mathematical definition of an orthonormal wavelet and of the integral wavelet transform.
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[edit] Formal definition
A function is called an orthonormal wavelet if it can be used to define a Hilbert basis, that is a complete orthonormal system, for the Hilbert space of square integrable functions. The Hilbert basis is constructed as the family of functions by means of dyadic translations and dilations of ,
for integers . This family is an orthonormal system if it is orthonormal under the inner product
where is the Kronecker delta and is the standard inner product on :
The requirement of completeness is that every function may be expanded in the basis as
with convergence of the series understood to be convergence in the norm. Such a representation of a function f is known as a wavelet series. This implies that an orthonormal wavelet is self-dual.
[edit] Wavelet transform
The integral wavelet transform is the integral transform defined as
The wavelet coefficients cjk are then given by
Here, a = 2 − j is called the binary dilation or dyadic dilation, and b = k2 − j is the binary or dyadic position.
[edit] General remarks
Unlike the Fourier transform, which is an integral transform in both directions, the wavelet series is an integral transform in one direction, and a series in the other, much like the Fourier series.
The canonical example of an orthonormal wavelet, that is, a wavelet that provides a complete set of basis elements for , is the Haar wavelet.
[edit] See also
- Continuous wavelet transform
- Discrete wavelet transform
- Complex wavelet transform
- Dual wavelet
- Multiresolution analysis
- JPEG 2000, a wavelet-based image compression standard
- Some people generate spectrograms using wavelets. Other people generate spectrograms using a short-time Fourier transform.
[edit] References
- Charles K. Chui, An Introduction to Wavelets, (1992), Academic Press, San Diego, ISBN 91-58831