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DSP First

DSP First
Author: James H. McClellan
Publisher:
Total Pages: 0
Release: 2016
Genre: Multimedia systems
ISBN: 9780136019251

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For introductory courses (freshman and sophomore courses) in Digital Signal Processing and Signals and Systems. Text may be used before the student has taken a course in circuits. DSP First and it's accompanying digital assets are the result of more than 20 years of work that originated from, and was guided by, the premise that signal processing is the best starting point for the study of electrical and computer engineering. The "DSP First" approach introduces the use of mathematics as the language for thinking about engineering problems, lays the groundwork for subsequent courses, and gives students hands-on experiences with MATLAB. The Second Edition features three new chapters on the Fourier Series, Discrete-Time Fourier Transform, and the The Discrete Fourier Transform as well as updated labs, visual demos, an update to the existing chapters, and hundreds of new homework problems and solutions.


Signal Processing First

Signal Processing First
Author: James H. McClellan
Publisher:
Total Pages: 489
Release: 2003
Genre: Multimedia systems
ISBN: 9780130909992

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Think DSP

Think DSP
Author: Allen B. Downey
Publisher: "O'Reilly Media, Inc."
Total Pages: 172
Release: 2016-07-12
Genre: Technology & Engineering
ISBN: 149193851X

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If you understand basic mathematics and know how to program with Python, you’re ready to dive into signal processing. While most resources start with theory to teach this complex subject, this practical book introduces techniques by showing you how they’re applied in the real world. In the first chapter alone, you’ll be able to decompose a sound into its harmonics, modify the harmonics, and generate new sounds. Author Allen Downey explains techniques such as spectral decomposition, filtering, convolution, and the Fast Fourier Transform. This book also provides exercises and code examples to help you understand the material. You’ll explore: Periodic signals and their spectrums Harmonic structure of simple waveforms Chirps and other sounds whose spectrum changes over time Noise signals and natural sources of noise The autocorrelation function for estimating pitch The discrete cosine transform (DCT) for compression The Fast Fourier Transform for spectral analysis Relating operations in time to filters in the frequency domain Linear time-invariant (LTI) system theory Amplitude modulation (AM) used in radio Other books in this series include Think Stats and Think Bayes, also by Allen Downey.


First Principles of Discrete Systems and Digital Signal Processing

First Principles of Discrete Systems and Digital Signal Processing
Author: Robert D. Strum
Publisher: Prentice Hall
Total Pages: 872
Release: 1988
Genre: Mathematics
ISBN:

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Here is a valuable book for a first undergraduate course in discrete systems and digital signal processing (DSP) and for in-practice engineers seeking a self-study text on the subject. Readers will find the book easy to read, with topics flowing and connecting naturally. Fundamentals and first principles central to most DSP applications are presented through carefully developed, worked out examples and problems. Unlike more theoretically demanding texts, this book does not require a prerequisite course in linear systems theory. The text focuses on problem-solving and developing interrelationships and connections between topics. This emphasis is carried out in a number of innovative features, including organized procedures for filter design and use of computer-based problem-solving methods. Solutions Manual is available only through your Addison-Wesley Sales Specialist.


DSP First

DSP First
Author: James H. McClellan
Publisher:
Total Pages: 556
Release: 1998
Genre: Technology & Engineering
ISBN:

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DSP First presents basic DSP concepts in a clear and intuitive style, with a hands-on practical approach.


Understanding Digital Signal Processing

Understanding Digital Signal Processing
Author: Richard G. Lyons
Publisher: Pearson Education
Total Pages: 1227
Release: 2010-11-01
Genre: Technology & Engineering
ISBN: 0137028520

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Amazon.com’s Top-Selling DSP Book for Seven Straight Years—Now Fully Updated! Understanding Digital Signal Processing, Third Edition, is quite simply the best resource for engineers and other technical professionals who want to master and apply today’s latest DSP techniques. Richard G. Lyons has updated and expanded his best-selling second edition to reflect the newest technologies, building on the exceptionally readable coverage that made it the favorite of DSP professionals worldwide. He has also added hands-on problems to every chapter, giving students even more of the practical experience they need to succeed. Comprehensive in scope and clear in approach, this book achieves the perfect balance between theory and practice, keeps math at a tolerable level, and makes DSP exceptionally accessible to beginners without ever oversimplifying it. Readers can thoroughly grasp the basics and quickly move on to more sophisticated techniques. This edition adds extensive new coverage of FIR and IIR filter analysis techniques, digital differentiators, integrators, and matched filters. Lyons has significantly updated and expanded his discussions of multirate processing techniques, which are crucial to modern wireless and satellite communications. He also presents nearly twice as many DSP Tricks as in the second edition—including techniques even seasoned DSP professionals may have overlooked. Coverage includes New homework problems that deepen your understanding and help you apply what you’ve learned Practical, day-to-day DSP implementations and problem-solving throughout Useful new guidance on generalized digital networks, including discrete differentiators, integrators, and matched filters Clear descriptions of statistical measures of signals, variance reduction by averaging, and real-world signal-to-noise ratio (SNR) computation A significantly expanded chapter on sample rate conversion (multirate systems) and associated filtering techniques New guidance on implementing fast convolution, IIR filter scaling, and more Enhanced coverage of analyzing digital filter behavior and performance for diverse communications and biomedical applications Discrete sequences/systems, periodic sampling, DFT, FFT, finite/infinite impulse response filters, quadrature (I/Q) processing, discrete Hilbert transforms, binary number formats, and much more


Digital Signal Processing

Digital Signal Processing
Author: Muhammad Khan
Publisher: CRC Press
Total Pages: 705
Release: 2022-09-01
Genre: Computers
ISBN: 1000795187

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The subject of Digital Signal Processing (DSP) is enormously complex, involving many concepts, probabilities, and signal processing that are woven together in an intricate manner. To cope with this scope and complexity, many DSP texts are often organized around the “numerical examples” of a communication system. With such organization, readers can see through the complexity of DSP, they learn about the distinct concepts and protocols in one part of the communication system while seeing the big picture of how all parts fit together. From a pedagogical perspective, our personal experience has been that such approach indeed works well.Based on the authors’ extensive experience in teaching and research, Digital Signal Processing: a breadth-first approach is written with the reader in mind. The book is intended for a course on digital signal processing, for seniors and undergraduate students. The subject has high popularity in the field of electrical and computer engineering, and the authors consider all the needs and tools used in analysis and design of discrete time systems for signal processing.Key features of the book include:• The extensive use of MATLAB based examples to illustrate how to solve signal processing problems. The textbook includes a wealth of problems, with solutions• Worked-out examples have been included to explain new and difficult concepts, which help to expose the reader to real-life signal processing problems• The inclusion of FIR and IIR filter design further enrich the contents


Digital Signal Processing with Field Programmable Gate Arrays

Digital Signal Processing with Field Programmable Gate Arrays
Author: Uwe Meyer-Baese
Publisher: Springer Science & Business Media
Total Pages: 535
Release: 2013-03-09
Genre: Technology & Engineering
ISBN: 3662067285

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Starts with an overview of today's FPGA technology, devices, and tools for designing state-of-the-art DSP systems. A case study in the first chapter is the basis for more than 30 design examples throughout. The following chapters deal with computer arithmetic concepts, theory and the implementation of FIR and IIR filters, multirate digital signal processing systems, DFT and FFT algorithms, and advanced algorithms with high future potential. Each chapter contains exercises. The VERILOG source code and a glossary are given in the appendices, while the accompanying CD-ROM contains the examples in VHDL and Verilog code as well as the newest Altera "Baseline" software. This edition has a new chapter on adaptive filters, new sections on division and floating point arithmetics, an up-date to the current Altera software, and some new exercises.


Digital Signal Processing

Digital Signal Processing
Author: Winser Alexander
Publisher: Academic Press
Total Pages: 636
Release: 2016-11-14
Genre: Technology & Engineering
ISBN: 0080885268

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Digital signal processing (DSP) has been applied to a very wide range of applications. This includes voice processing, image processing, digital communications, the transfer of data over the internet, image and data compression, etc. Engineers who develop DSP applications today, and in the future, will need to address many implementation issues including mapping algorithms to computational structures, computational efficiency, power dissipation, the effects of finite precision arithmetic, throughput and hardware implementation. It is not practical to cover all of these in a single text. However, this text emphasizes the practical implementation of DSP algorithms as well as the fundamental theories and analytical procedures that form the basis for modern DSP applications. Digital Signal Processing: Principles, Algorithms and System Design provides an introduction to the principals of digital signal processing along with a balanced analytical and practical treatment of algorithms and applications for digital signal processing. It is intended to serve as a suitable text for a one semester junior or senior level undergraduate course. It is also intended for use in a following one semester first-year graduate level course in digital signal processing. It may also be used as a reference by professionals involved in the design of embedded computer systems, application specific integrated circuits or special purpose computer systems for digital signal processing, multimedia, communications, or image processing. Covers fundamental theories and analytical procedures that form the basis of modern DSP Shows practical implementation of DSP in software and hardware Includes Matlab for design and implementation of signal processing algorithms and related discrete time systems Bridges the gap between reference texts and the knowledge needed to implement DSP applications in software or hardware