Synopsis
This book delves into the complex and fascinating world of signal representation using multiscale edges. The author, a respected expert in the field, masterfully combines mathematical theory with practical applications, making this book accessible to a wide audience. The text offers a comprehensive overview of the foundational concepts of multiscale edge representation, drawing connections to the broader history and evolution of signal processing and computer vision. The author presents innovative algorithms and techniques for reconstructing signals from their multiscale edges, providing valuable insights into the relationship between the local properties of signals and the evolution of their wavelet transform values across scales. The book's significance lies in its ability to characterize the local shape of signal variations, enabling the detection and classification of different types of edges. This approach has far-reaching implications for image processing and pattern recognition, opening up new avenues for solving complex problems in these fields. With its rigorous mathematical foundation and practical applications, this book is essential reading for researchers, engineers, and students seeking to advance their understanding of signal representation and analysis.
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About the Author
St?phane Mallat is a Professor in the Computer Science Department of the Courant Institute of Mathematical Sciences at New York University, and a Professor in the Applied Mathematics Department at ccole Polytechnique, Paris, France. He has been a visiting professor in the ElectricalEngineering Department at Massachusetts Institute of Technology and in the Applied Mathematics Department at the University of Tel Aviv. Dr. Mallat received the 1990 IEEE Signal Processing Society's paper award, the 1993 Alfred Sloan fellowship in Mathematics, the 1997Outstanding Achievement Award from the SPIE Optical Engineering Society, and the 1997 Blaise Pascal Prize in applied mathematics, from theFrench Academy of Sciences.
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Paperback. Condition: New. Print on Demand. This book delves into the complex and fascinating world of signal representation using multiscale edges. The author, a respected expert in the field, masterfully combines mathematical theory with practical applications, making this book accessible to a wide audience. The text offers a comprehensive overview of the foundational concepts of multiscale edge representation, drawing connections to the broader history and evolution of signal processing and computer vision. The author presents innovative algorithms and techniques for reconstructing signals from their multiscale edges, providing valuable insights into the relationship between the local properties of signals and the evolution of their wavelet transform values across scales. The book's significance lies in its ability to characterize the local shape of signal variations, enabling the detection and classification of different types of edges. This approach has far-reaching implications for image processing and pattern recognition, opening up new avenues for solving complex problems in these fields. With its rigorous mathematical foundation and practical applications, this book is essential reading for researchers, engineers, and students seeking to advance their understanding of signal representation and analysis. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item. Seller Inventory # 9781333370091_0
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Complete Signal Representation with Multiscale Edges (Classic Reprint)
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