When I was involved in wavelet-based image compression, I had to study wavelet transforms. Since I am no mathematician I had to work hard to make my way through the mathematical clutter and noise to finally find out that it was not so difficult at all. It was then that I decided to try to write a tutorial on wavelet transforms that would handle the maths clearly. With this tutorial I try to pass on what I've learned the hard way, to make life a little easier for those that have to go the same route.
Part one deals with Wavelet Theory in general.
Part two treats the Fast Lifting Wavelet Transform, my favorite.
Part three is about Embedded Zerotree Wavelet encoding, an application of Part one and Part two.
To make life even more convenient you can download everything for off-line browsing. All tutorials are also available as postscript files from their respective pages.
Please note that the postscript files are not included in the off-line browsing package. This to save me some server space.
Please note also that there are no hardcopies available of the tutorials.
Although I wrote my wavelet tutorial for the non-mathematician, this does not mean that there will be no mathematics in it. It means that almost all equations can be skipped without losing the thread, they are only there to facilitate further familiarization with wavelet theory.
Many people collect something. I collect signal transforms. On this site you will find links to tutorials and implementations of many signal transforms. I am trying to make sources for all transforms locally available in as many (programming) languages as possible.
Because I always lose my favorite links I decided to keep them on my web site. This way they may be useful for others too.