Discrete Wavelet Transformations takes an "applications first" approach, as opposed to presenting the material in the typical format of definition, theorem, proof, example etc. Instead this book immediately immerses students in applications.  Readers gain an appreciation and mastery of the discrete wavelet transform and learn of its value in problems such as data compression, signal de-noising, and image edge detection. Subjects covered include digital images, quantitative/qualitative measures, and encoding; introduction to the Fourier Series; and detailed development of pseudocode.