Synopsis "wavelet theory and application"

the development of wavelet transform has provided a wealth of new mathematical results and has made possible a common ground for researchers working in a wide variety of fields, including harmonic analysis, mathematical physics, digital signal processing, image processing, and computer vision. this book presents a wide-ranging collection of perspectives on wavelets and multiresolution signal analysis by authors from a variety of disciplines. the analysis of signals and phenomena at multiple scales of resolution remains an evolving science. thus the contributions in this book provide a snapshot of a maturing subject, where the principles of multiresolution analysis and the contributions of wavelet transforms are further distilled. the seven chapters included in this book are grouped into three general areas: (1) image compression techniques, (2) mathematical models and formulation, and (3) applications in medical imaging and targe recognition. wavelet theory and application is an edited volume of original research.

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