Wavelab 8.50
WaveLab is a collection of Matlab functions that have been
used by the authors and collaborators to implement a variety
of computational algorithms related to wavelet analysis. A partial
list of the techniques made available:
- orthogonal wavelet transforms,
- biorthogonal wavelet transforms,
- translation-invariant wavelets,
- interpolating wavelet transforms,
- cosine packets,
- wavelet packets,
- matching pursuit,
and a lot more... It includes more than 1100 Matlab files,
datasets, and demonstration scripts. Some computationally expensive
routines have been implemented as Matlab MEX functions.
Click on the link to read a
more detailed introduction
What is new?
For the new version (WaveLab802), we add in scripts to reproduce
many figures for the book
A Wavelet
Tour of Signal Processing
by Stéphane Mallat. We also add scripts to reproduce figures
in recent papers by researchers from the Stanford Statistics
Department (Sudesna Adak, David L. Donoho, Iain M. Johnstone,
Bernard W. Silverman, Thomas P.-Y. Yu) and their collaborators.
A new browser has been added for Mallat's book.
Philosophy--why do it?
WaveLab implements the concept of reproducible
research.
The idea is: An article about computational science in
a scientific publication is not the scholarship itself,
it is merely advertising of the scholarship. The actual
scholarship is the complete software development environment
and the complete set of instructions which generated the figures.
We make WaveLab available to make the full content of our
scholarship available, enabling others to understand and reproduce
our work.
Previous Wavelab Team members
- Jonathan Buckheit
- Shaobing Chen
- Iain Johnstone
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- Jeffrey Scargle
- Rainer von Sachs
- Thomas Yu
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Links
Contact Us
Email is the best way to contact us:                 .
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