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Part of the book series: Lecture Notes in Statistics ((LNS,volume 161))

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Abstract

Every theory starts from an idea. The wavelet idea is simple and clear. At a first confrontation, the mathematics that work out this idea might appear strange and difficult. Nevertheless, after a while, this theory leads to insight in the mechanism in wavelet based algorithms in a variety of applications.

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© 2001 Springer Science+Business Media New York

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Jansen, M. (2001). Wavelets and wavelet thresholding. In: Noise Reduction by Wavelet Thresholding. Lecture Notes in Statistics, vol 161. Springer, New York, NY. https://doi.org/10.1007/978-1-4613-0145-5_2

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  • DOI: https://doi.org/10.1007/978-1-4613-0145-5_2

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-95244-4

  • Online ISBN: 978-1-4613-0145-5

  • eBook Packages: Springer Book Archive

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