Multiscale Signal Analysis and Modeling discusses recent advances in multiscale analysis using wavelets and other systems, including but not limited to sinc functions, chromatic derivatives, and discrete Hermite functions. Applications in filter design, sampling, signal and image representation/transmission, coding, and nonparametric statistical signal processing methods are also presented. Both MATLAB and R (free statistical software) are integrated throughout as the principal computing tools for computation and visualization.