Wavelets and Subband Coding (Prentice Hall Signal Processing Series)

A textbook for a first-year graduate course in electrical engineering and computer science programs. Assumes a previous knowledge of elementary Fourier analysis and linear systems in discrete time, but no background in signal processing. Develops the theory of wavelets and subband coding in both continuous and discrete time, and presents some of its applications in harmonic analysis, mathematical physics, image compression, and computer vision. Annotation copyright Book News, Inc. Portland, Or. A central goal of signal processing is to describe real life signals, be it for computation, compression, or understanding. This book presents a unified view of wavelets and subband coding with a signal processing perspective. Covers the discrete-time case, or filter banks; development of wavelets; continuous wavelet and local Fourier transforms; efficient algorithms for filter banks and wavelet computations; and signal compression. For electrical engineers and computer scientists.

A contral goal of signal processing is to describe real life signals, be it for computation, compression, or understanding. This book presents a unified view of wavelets and subband coding with a signal processing perspective. Covers the discrete-time case, development of wavelets, continuous wavelet and local Fourier transforms, efficient algorithms for computations, and signal compression.

Presenting a unified view of wavelets and subband coding with a signal processing perspective, this book covers the discrete-time case, or filter banks; development of wavelets; continuous wavelet and local Fourier transforms; efficient algorithms for filter banks and wavelet computations; and signal compression Presents a unified view of wavelets and subband coding with a signal processing perspective. This book covers the discrete-time case, or filter banks; development of wavelets; continuous wavelet and local Fourier transforms; efficient algorithms for filter banks and wavelet computations; and signal compression.