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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2001 Springer Science+Business Media New York
About this chapter
Cite this chapter
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
Download citation
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