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action, considering signal processing on the unit sphere, as well as reproducing kernel Hilbert spaces. The text is interspersed with historical;
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work documents developments in statistical modelling, identification, estimation and signal processing. It also covers such topics as subspace;
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High-Resolution and Robust Signal Processing describes key methodological and theoretical advances achieved in this domain over the last;
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This comprehensive and engaging textbook introduces the basic principles and techniques of signal processing, from the fundamental ideas;
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Hilbert Transform Applications in Mechanical Vibration addresses recent advances in theory and applications of the Hilbert transform to;
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A realistic and comprehensive review of joint approaches to machine learning and signal processing algorithms, with application to;
Vergelijkbare producten zoals Digital Signal Processing with Kernel Methods
This book grew out of the IEEE-EMBS Summer Schools on Biomedical Signal Processing, which have been held annually since 2002 to provide the;
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Nonlinear signal and image processing methods are fast emerging as an alternative to established linear methods for meeting the challenges;
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Transform theory in signal processing. Fourier Transform (FT) is a field of processing which has shown significant growth in the last few decades;
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Explains how Hilbert space techniques cross the boundaries into the foundations of probability and statistics. Focuses on the theory;
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Providing a wealth of information on fundamental topics in the areas of linear air and underwater acoustics, as well as space-time signal;
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An essential task in radar systems is to find an appropriate solution to the problems related to robust signal processing and the;
Vergelijkbare producten zoals Signal Processing in Radar Systems
An essential task in radar systems is to find an appropriate solution to the problems related to robust signal processing and the;
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count method for frequency signal processing, this book presents a practical approach to the design of signal processing sensors. Modern;
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that can be used for computational purposes in signal processing Develops the theory of the Hilbert transform of periodic distributions and the;
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Comprehensive and packed with practical examples, Signal and Image Processing Sourcebook is your complete guide to the rapidly-expanding;
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Brimming with top articles from experts in signal processing and biomedical engineering, Time Frequency and Wavelets in Biomedical Signal;
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Quantum-Mechanical Signal Processing and Spectral Analysis describes the novel application of quantum mechanical methods to signal;
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Exploring the interrelation between information theory and signal processing theory, the book contains a new algebraic approach to signal;
Vergelijkbare producten zoals Fundamentals of Signal Processing in Metric Spaces with Lattice Properties
Advances in digital signal processing algorithms and computer technology have combined to produce real-time systems with capabilities far;
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Reproducing kernel Hilbert spaces is a topic of great current interest for applications in signal processing, communications, and controls;
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This collective book presents selected topics in the modern research of Hilbert space. Throughout this book, various mathematical;
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Digital signal processing plays a central role in the development of modern communication and information processing systems. The theory;
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Volume 3 of the second edition of the fully revised and updated Digital Signal and Image Processing using MATLAB, after first two volumes;
Vergelijkbare producten zoals Digital Signal and Image Processing using MATLAB, Volume 3
This book focuses linear estimation theory, which is essential for effective signal processing. The first section offers a;
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Written using clear and accessible language, this text provides detailed coverage of the core mathematical concepts underpinning signal;
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Seeking sparse solutions of underdetermined linear systems is required in many areas of engineering and science such as signal and image;
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