Multiscale Signal Analysis and Modeling presents recent advances in multiscale analysis and modeling using wavelets and other systems. This book also presents applications in digital signal processing using sampling theory and techniques from various function spaces, filter design, feature extraction and classification, signal and image representation/transmission, coding, nonparametric statistical signal processing, and statistical learning theory.
This book surveys advances in multiscale analysis using wavelets and other systems: sinc functions, discrete Hermite functions and more, and offers applications in filter design, sampling, signal and image representation/transmission and other methods.