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Digital signal processing is ubiquitous. It is an essential ingredient in many of today's electronic devices, ranging from medical;
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communications, multimedia, and biomedical engineering systems Digital Signal Processing with Kernel Methods reviews the milestones in the mixing;
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A significant revision of a best-selling text for the introductory digital signal processing course. This book presents the;
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Digital Signal Processing Algorithms describes computational number theory and its applications to deriving fast algorithms for digital;
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Covers advances in the field of computer techniques and algorithms in digital signal processing. ;
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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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Intended for a one-semester advanced graduate course in digital signal processing or as a reference for practicing engineers and;
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Multimedia Signal Processing is a comprehensive and accessible text to the theory and applications of digital signal processing (DSP). The;
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With its active, hands-on learning approach, this text enables readers to master the underlying principles of digital signal processing and;
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Intended as a text for three courses - Signals and Systems, Digital Signal Processing (DSP), and DSP Architecture - this comprehensive text;
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performance of digital circuitry and processors has prompted a switch to digital signal processing techniques rather than the traditional analog ones;
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Now available in a three-volume set, this updated and expanded edition of the bestselling Digital Signal Processing Handbook continues to;
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Now available in a three-volume set, this updated and expanded edition of the bestselling The Digital Signal Processing Handbook continues;
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Now available in a three-volume set, this updated and expanded edition of the bestselling The Digital Signal Processing Handbook continues;
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, Optical Communication, Wireless Sensor Networks, MIMO Systems, MIMO Communications, Signal Processing for Communications e-Learning. Digital;
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As demand for applications working in extended frequency ranges increases, classical Digital signal processing (DSP) techniques, not;
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This book covers all the major topics in digital signal processing (DSP) design and analysis.;
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, wavelets, and neural networks. It also addresses the important topic of digital signal processing, focusing on the example of homomorphic signal;
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information in the form of digital signals, using certain DSP hardware designed to execute software. Fundamental topics in digital signal processing;
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information in the form of digital signals, using certain DSP hardware designed to execute software. Fundamental topics in digital signal processing;
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definition of signal parameters. Signal Processing in Radar Systems addresses robust signal processing problems in complex radar systems and digital;
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definition of signal parameters. Signal Processing in Radar Systems addresses robust signal processing problems in complex radar systems and digital;
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This book covers the wide realm of digital signal processing. It is a compilation of chapters drafted by various specialists. It focuses on;
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Aims to bridge the gap between parallel computer architectures and the creation of parallel digital signal processing (DSP) algorithms;
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An Introduction to Digital Signal Processing aims at undergraduate students who have basic knowledge in C programming, Circuit Theory;
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Digital signal processing (DSP) has been applied to a very wide range of applications. This includes voice processing, image processing;
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This book documents the significant progress in studies concerning linear circuits and systems, including their applications to digital;
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