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This book provides the tools for analyzing data in Python: different types of filters are introduced and explained, such as FIR-, IIR- and morphological filters, as well as their application to one- and two-dimensional data.
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The author explains the internal logic embodied in the Python language so that readers can get into the Python mindset and make better design choices in their codes, which is especially helpful for newcomers to both Python and data analysis.
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This textbook provides a compact but comprehensive treatment that provides analytical and design steps to recurrent neural networks from scratch.
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This open access book provides the first comprehensive collection of studies dealing with the hot topic of digital... Læs mere
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The book addresses various approaches to television projection imaging on large screens using lasers. Results of theoretical and... Læs mere
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Explores new principles of Self-Initiating-Volume Discharge (SIVD) for creating high-energy... Læs mere
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This book gives insight into the theoretical background of optical vortices and their propagation in free space and simple optical systems. The author’s theoretical... Læs mere
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This book is devoted to research in the actual field of mathematical modeling in modern problems of plasma physics associated with vibrations and wake waves excited by a short high-power laser pulse.
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Nanophotonics deals with the diffraction of light from objects with nanoscale features. This book addresses cutting-edge problems in the field of nanophotonics as well as a... Læs mere
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Fourier analysis is one of the most important concepts when you apply physical ideas to engineering issues. This book provides a comprehensive understanding of Fourier transform and spectral analysis in optics, image processing, and signal processing.