What are some alternatives to wavelets

The wavelet transform

Signal Theory pp 301-354 | Cite as

  • Alfred Mertins
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Summary

The wavelet transform was introduced in 1982 by Morlet et al. introduced, whereby the application consisted in the evaluation of seismic measurement data [20], [21]. Since then, various types of wavelet transform have been proposed and many other uses have been found. The time-continuous wavelet transformation, also called integral wavelet transformation, has applications in signal analysis, where it provides an affine-invariant time-frequency representation. A form that is particularly frequently used is the discrete wavelet transformation (DWT). The DWT has excellent coding properties for many classes of natural signals and can also be implemented very efficiently. It has applications in many areas of technology, such as image compression, noise reduction and pattern recognition.

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Copyright information

© Springer Fachmedien Wiesbaden GmbH, Wiesbaden 2013

Authors and Affiliations

  1. 1.Institute for Signal ProcessingUniversity of LübeckLübeckGermany