Conceptual wavelets in digital signal processing: an in-depth, practical approach for the non-mathematician

I am a practicing signal processing engineer and have been working with wavelets since they were first invented. My applications have been in modulation (US Robotics), audio/image/video processing/compression/recognition, hybrid algorithms, predictive algorithms, flow prediction for a magnetically levitated artificial heart (spin-off from the University of Utah), x-ray florescence spectroscopy (XRF) detectors, and wavelet/neural network algorithms for gas chromatography. The science of wavelets was invented by mathematicians -- so, all of the early books were written by mathematicians and extremely difficult to navigate. The power of these new wavelet methods beyond Fourier Transforms was obvious, but quite difficult to understand and use. I have a significant collection of books on wavelets from most of the mathematicians. When I received Lee Fugal's book, I was very pleased to see something that was written from a practical point of view. I found the book easy to read and understand, and even with a pretty heavy background in wavelets, I learned alot. Also as a MatLAB user, it was very nice to find useful code examples along with wavelet toolbox functions explained in detail. Thank you Lee Fugal for taking all the time to write this book. Everything else on my bookshelf is gathering dust -- Lee's book, 'Conceptual Wavelets' is what I use every day in my work. Best regards, W. Kurt Dobson, CEO Sigma Technology Holdings Salt Lake City, UT