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Recovering the phase of the Fourier transform is a ubiquitous problem in imaging applications. This book introduces a conceptual,... Læs mere
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This book offers readers an overview of some of the most recent advances in the field of detectors for X-ray imaging.... Læs mere
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This textbook is a concise yet precise supplement to traditional books on Signals and Systems, focusing exclusively on the continuous-time case.
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For the newedition, the author designed a circuit board that illustrates many of the principles in the book, created instructor materials including PowerPoint slides, a homework bank, and a test bank, and created materials that departments can use for ABET assessment.
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Rather than describing deep learning as an implementation technique, as is usually the case in many existing deep learning books, here, deep learning is explained as an ultimate form of signal processing techniques that can be imagined.
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This coherent introduction to machine learning for readers with a background in basic linear algebra, statistics, probability, and... Læs mere
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Machine Learning in Signal Processing: Applications, Challenges and Road Ahead offers a comprehensive approach towards research orientation for familiarising ‘signal processing (SP)’ concepts to machine learning (ML).
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This title contains the most up-to-date and comprehensive information on the development of the Charge-Coupled Device (CCD), which makes possible the widespread use of... Læs mere
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A systematic introduction to the theory, algorithms, and applications of key mathematical models for... Læs mere
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