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Wavelet Methods

Part of the Springer Series in Statistics book series (SSS)

Wavelets are one of the most well-known multiscale techniques and have been extensively explored in statistical applications in the 1990s and the 2000s. Wavelets are powerful mathematical tools that have been used with success in the compression of images and in the analysis of signals. They decompose signals and images in components spatially localized at different levels of resolution known as wavelet coefficients.

Keywords

Discrete Wavelet Transform Discrete Wavelet Mother Wavelet Continuous Wavelet Transform Resolution Level 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media, LLC 2007

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