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An informal and easy-to-understand introduction to digital signal processing, this treatment emphasizes digital audio and applications to;
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Signals and Systems Primer with MATLAB (R) equally emphasizes the fundamentals of both analog and digital signals and systems. To ensure;
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application software in their own research. Digital Signal Processing with Kernel Methods provides a comprehensive overview of kernel methods;
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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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Intended as a text for three courses - Signals and Systems, Digital Signal Processing (DSP), and DSP Architecture - this comprehensive text;
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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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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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Aims to bridge the gap between parallel computer architectures and the creation of parallel digital signal processing (DSP) algorithms;
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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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Digital signal processing plays a central role in the development of modern communication and information processing systems. The theory;
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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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of signal processing and filtering, and presents several new methods that can be used for a more dynamic analysis of random digital signals with;
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of signal processing and filtering, and presents several new methods that can be used for a more dynamic analysis of random digital signals with;
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This book covers all the major topics in digital signal processing (DSP) design and analysis.;
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protected against aliasing, are becoming less effective. Digital alias-free signal processing (DASP) is a technique for overcoming the problems;
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techniques, and (5) Finale, which contains a discussion on the impact of digital signal processing on our society and the closing remarks on this;
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comes in the later chapters. Initially Digital Signal Processing evolved as a postgraduate course which slowly filtered into the;
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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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Digital signal processing (DSP) has been applied to a very wide range of applications. This includes voice processing, image processing;
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, Optical Communication, Wireless Sensor Networks, MIMO Systems, MIMO Communications, Signal Processing for Communications e-Learning. 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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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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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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video. Using a wealth of applications, the book covers Digital Signal Processing material well suited to today's diverse student population. The;
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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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