[[Serge Kazantzev]] The foundations of [wavelet] theory is today securely in place and a lot of work has been done over the last decade through a mix of theory and practice to make wavelets evolve with new applications. Wavelets are not only known for image compression (JPEG2000), but also for pattern recognition, process modelling and movies to name a few. It looks ''natural'' to bring '''wavelets''' to [Tcl]. [[While [CL] has enormous affection for both wavelets and Tcl, he's concerned that Tcl's arithmetic, relatively distant from the hardware, excessively handicaps performance. In particular, it's clumsy to do all the power-of-two calculations that make wavelets so apt for computerization. On the other hand, it's been a decade since CL has thought much about wavelets, so maybe these difficulties have all been surmounted.]] YAW[http://yawtcl.free.fr] is a modest attempt to give Tcl a subset of the '''Cohen-Daubechies-Fauveau''' family of the biorthogonal wavelets to play with, and this wiki page is set up to share experience and practice. ---- [Category Mathematics] [Category Image Processing]