Wavelets and Subband Coding

Wavelets and subband coding are essential to the field of signal processing, from their roles in harmonic analysis and mathematical physics to their applications in speech, image compression, and computer vision. This text for signal processing courses in electrical engineering develops wavelets and subband theory in both continuous and discrete time and presents important applications.
The unified treatment begins with an overview that introduces the concept of multiresolution and a review of fundamentals. Subsequent chapters examine discrete-time linear expansions based on filter banks or subband coding; wavelets, both with direct approaches and those based on filter banks; continuous wavelets and local Fourier transforms used in signal analysis; and signal compression, source coding, and multiresolution coding. Each chapter includes numerous examples, homework problems, illustrations, and photographs, and several appendixes cover additional material.