Reseña del editor
With applications in pattern recognition, data compression and numerical analysis, the wavelet transform is a key area of modern mathematics that brings new approaches to the analysis and synthesis of signals. This book presents the central issues and emphasizes comparison, assessment and how to combine method and application. It reviews different approaches to guide researchers to appropriate classes of techniques.Includes exercises, solutions and an itinerary for readers interested in algorithms and applications.-- Includes further reading suggestions in each chapter.
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