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Fundamentals Of Statistical Signal Processing

For practicing engineers and scientists who design and analyze signal processing systems, i.e., to extract information from noisy signals;

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Digital Signal Processing: Instant Access

Digital signal processing is commonplace in most electronics including MP3 players, HDTVs, and phones, just to name a few of the;

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Digital Signal Processing with Kernel Methods

algorithms to present other highly relevant kernel methods for digital signal processing An excellent book for signal processing researchers and;

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Advanced Digital Signal Processing and Noise Reduction

of digital signal processing, telecommunications and statistical data analysis. It will also be of interest to professional engineers;

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Digital Signal Processing Algorithms

Digital Signal Processing Algorithms describes computational number theory and its applications to deriving fast algorithms for digital;

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Signal Processing for Wireless Communications

any online entitlements included with the product. Master the Signal Processing Concepts and Techniques Needed to Design and Operate;

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Modern Digital Signal Processing

Intended as a text for three courses - Signals and Systems, Digital Signal Processing (DSP), and DSP Architecture - this comprehensive text;

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Signal Processing and Data Analysis

This book presents digital signal processing theories and methods and their applications in data analysis, error analysis and statistical;

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Digital Signal Processing Using MATLAB for Students and Researchers

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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Vlsi Digital Signal Processing Systems

current and fluent in VLSI design methodologies for DSP. Enter VLSI Digital Signal Processing Systems-a unique, comprehensive guide to;

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Digital Signal Processing

text on digital signal processing. The book is split into six self-contained chapters, allowing the reader to quickly locate and implement;

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Introduction to Digital Signal Processing Using MATLAB with Application to Digital Communications

readers to the field. It goes on to give instruction in converting continuous time signals into digital signals and discusses various methods to;

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Introduction to Digital Signal Processing Using MATLAB with Application to Digital Communications

readers to the field. It goes on to give instruction in converting continuous time signals into digital signals and discusses various methods to;

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The Digital Signal Processing Handbook - 3 Volume Set

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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Signal And Image Processing Sourcebook

, the author links the fundamentals of analog telephony to the development of modern digital signal processing in telecommunications and;

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Multimedia Signal Processing

Multimedia Signal Processing is a comprehensive and accessible text to the theory and applications of digital signal processing (DSP). The;

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Applied Signal Processing

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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Digital Signal Processing Fundamentals

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 Fundamentals

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: World Class Designs

, columnist, and editor of DSP DesignLine has selected the very best digital signal processing design material from the Newnes portfolio and has;

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Trends in Digital Signal Processing

, (2) Digital Filters and Transforms, which covers efficient digital filtering techniques for improving signal quality, (3) Signal Processing;

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Digital Filters Design for Signal and Image Processing

Dealing with digital filtering methods for 1-D and 2-D signals, this book provides the theoretical background in signal processing;

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A Unified Signal Algebra Approach to Two-Dimensional Parallel Digital Signal Processing

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

is focused on basic concepts of digital signal processing, MATLAB simulation and implementation on selected DSP hardware. The objective is to win the;

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Digital Aliasfree Signal Processing

provides practical and comprehensive coverage of the theory and techniques behind alias-free digital signal processing. Key features:* Analyses;

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