Applied Digital Signal Processing
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Applied Digital Signal Processing
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Author : Dimitris G. Manolakis
language : en
Publisher: Cambridge University Press
Release Date : 2011-11-21
Applied Digital Signal Processing written by Dimitris G. Manolakis and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-11-21 with Technology & Engineering categories.
Master the basic concepts and methodologies of digital signal processing with this systematic introduction, without the need for an extensive mathematical background. The authors lead the reader through the fundamental mathematical principles underlying the operation of key signal processing techniques, providing simple arguments and cases rather than detailed general proofs. Coverage of practical implementation, discussion of the limitations of particular methods and plentiful MATLAB illustrations allow readers to better connect theory and practice. A focus on algorithms that are of theoretical importance or useful in real-world applications ensures that students cover material relevant to engineering practice, and equips students and practitioners alike with the basic principles necessary to apply DSP techniques to a variety of applications. Chapters include worked examples, problems and computer experiments, helping students to absorb the material they have just read. Lecture slides for all figures and solutions to the numerous problems are available to instructors.
Applied Signal Processing
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Author : Sadasivan Puthusserypady
language : en
Publisher:
Release Date : 2021-03-31
Applied Signal Processing written by Sadasivan Puthusserypady and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-31 with categories.
Being an inter-disciplinary subject, Signal Processing has application in almost all scientific fields. Applied Signal Processing tries to link between the analog and digital signal processing domains. Since the digital signal processing techniques have evolved from its analog counterpart, this book begins by explaining the fundamental concepts in analog signal processing and then progresses towards the digital signal processing. This will help the reader to gain a general overview of the whole subject and establish links between the various fundamental concepts. While the focus of this book is on the fundamentals of signal processing, the understanding of these topics greatly enhances the confident use as well as further development of the design and analysis of digital systems for various engineering and medical applications. Applied Signal Processing also prepares readers to further their knowledge in advanced topics within the field of signal processing.
Understanding Digital Signal Processing With Matlab And Solutions
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Author : Alexander D. Poularikas
language : en
Publisher: CRC Press
Release Date : 2017-11-13
Understanding Digital Signal Processing With Matlab And Solutions written by Alexander D. Poularikas and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-13 with Mathematics categories.
The book discusses receiving signals that most electrical engineers detect and study. The vast majority of signals could never be detected due to random additive signals, known as noise, that distorts them or completely overshadows them. Such examples include an audio signal of the pilot communicating with the ground over the engine noise or a bioengineer listening for a fetus’ heartbeat over the mother’s. The text presents the methods for extracting the desired signals from the noise. Each new development includes examples and exercises that use MATLAB to provide the answer in graphic forms for the reader's comprehension and understanding.
Applied Signal Processing
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Author : Thierry Dutoit
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-06-10
Applied Signal Processing written by Thierry Dutoit and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-06-10 with Technology & Engineering categories.
Applied Signal Processing: A MATLAB-Based Proof of Concept benefits readers by including the teaching background of experts in various applied signal processing fields and presenting them in a project-oriented framework. Unlike many other MATLAB-based textbooks which only use MATLAB to illustrate theoretical aspects, this book provides fully commented MATLAB code for working proofs-of-concept. The MATLAB code provided on the accompanying online files is the very heart of the material. In addition each chapter offers a functional introduction to the theory required to understand the code as well as a formatted presentation of the contents and outputs of the MATLAB code. Each chapter exposes how digital signal processing is applied for solving a real engineering problem used in a consumer product. The chapters are organized with a description of the problem in its applicative context and a functional review of the theory related to its solution appearing first. Equations are only used for a precise description of the problem and its final solutions. Then a step-by-step MATLAB-based proof of concept, with full code, graphs, and comments follows. The solutions are simple enough for readers with general signal processing background to understand and they use state-of-the-art signal processing principles. Applied Signal Processing: A MATLAB-Based Proof of Concept is an ideal companion for most signal processing course books. It can be used for preparing student labs and projects.
Applied Signal Processing
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Author : Nadder Hamdy
language : en
Publisher: CRC Press
Release Date : 2008-07-25
Applied Signal Processing written by Nadder Hamdy and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-07-25 with Technology & Engineering categories.
Classical signal processing techniques are based primarily on the analog nature of all signals. However, the continuously improving performance of digital circuitry and processors has prompted a switch to digital signal processing techniques rather than the traditional analog ones. Applied Signal Processing recognizes the linkage between
Digital Signal Processing For Measurement Systems
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Author : Gabriele D'Antona
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-10-28
Digital Signal Processing For Measurement Systems written by Gabriele D'Antona and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-10-28 with Technology & Engineering categories.
This excellent Senior undergraduate/graduate textbook offers an unprecedented measurement of science perspective on DSP theory and applications, a wealth of definitions and real-life examples making it invaluable for students, while practical.
Digital Signal Processing
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Author : Winser Alexander
language : en
Publisher: Academic Press
Release Date : 2016-11-14
Digital Signal Processing written by Winser Alexander and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-14 with Technology & Engineering categories.
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
Digital Signal Processing
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Author : Samir I. Abood
language : en
Publisher: CRC Press
Release Date : 2020-01-20
Digital Signal Processing written by Samir I. Abood and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-20 with Technology & Engineering categories.
Digital Signal Processing:A Primer with MATLAB® provides excellent coverage of discrete-time signals and systems. At the beginning of each chapter, an abstract states the chapter objectives. All principles are also presented in a lucid, logical, step-by-step approach. As much as possible, the authors avoid wordiness and detail overload that could hide concepts and impede understanding. In recognition of requirements by the Accreditation Board for Engineering and Technology (ABET) on integrating computer tools, the use of MATLAB® is encouraged in a student-friendly manner. MATLAB is introduced in Appendix C and applied gradually throughout the book. Each illustrative example is immediately followed by practice problems along with its answer. Students can follow the example step-by-step to solve the practice problems without flipping pages or looking at the end of the book for answers. These practice problems test students' comprehension and reinforce key concepts before moving onto the next section. Toward the end of each chapter, the authors discuss some application aspects of the concepts covered in the chapter. The material covered in the chapter is applied to at least one or two practical problems. It helps students see how the concepts are used in real-life situations. Also, thoroughly worked examples are given liberally at the end of every section. These examples give students a solid grasp of the solutions as well as the confidence to solve similar problems themselves. Some of hte problems are solved in two or three ways to facilitate a deeper understanding and comparison of different approaches. Designed for a three-hour semester course, Digital Signal Processing:A Primer with MATLAB® is intended as a textbook for a senior-level undergraduate student in electrical and computer engineering. The prerequisites for a course based on this book are knowledge of standard mathematics, including calculus and complex numbers.
Applied Introduction To Digital Signal Processing
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Author : J. Philippe Déziel
language : en
Publisher: Pearson
Release Date : 2001
Applied Introduction To Digital Signal Processing written by J. Philippe Déziel and has been published by Pearson this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Signal processing categories.
This book explores the Digital System Processing revolution that has drastically changed the way electronic circuits are designed, and created new possibilities deemed impossible using conventional analog circuitry. While avoiding most complicated math and calculus, it explains the magic that makes the “necessities” of life work— such as CD players, cellular telephones, music synthesizers, and high-speed modems, just to name a few. Chapter topics include the digital processing environment, building the signals, processing binary numbers, processing signals, spectral analysis, and implementing DSP systems. For engineers, who understand the basics of passive circuits and have exposure to the programming of microprocessors, looking for a high-tech tool to face the technical challenges of today's designs.