One-Dimensional Digital Signal Processing
Author | : Chi-Tsong Chen |
Publisher | : CRC Press |
Total Pages | : 466 |
Release | : 1979-11-01 |
Genre | : Technology & Engineering |
ISBN | : 9780824768775 |
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Author | : Chi-Tsong Chen |
Publisher | : CRC Press |
Total Pages | : 466 |
Release | : 1979-11-01 |
Genre | : Technology & Engineering |
ISBN | : 9780824768775 |
Author | : Winser Alexander |
Publisher | : Academic Press |
Total Pages | : 636 |
Release | : 2016-11-14 |
Genre | : Technology & Engineering |
ISBN | : 0080885268 |
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
Author | : Michael Parker |
Publisher | : Newnes |
Total Pages | : 286 |
Release | : 2010-05-26 |
Genre | : Technology & Engineering |
ISBN | : 1856179222 |
Digital Signal Processing 101: Everything You Need to Know to Get Started provides a basic tutorial on digital signal processing (DSP). Beginning with discussions of numerical representation and complex numbers and exponentials, it goes on to explain difficult concepts such as sampling, aliasing, imaginary numbers, and frequency response. It does so using easy-to-understand examples and a minimum of mathematics. In addition, there is an overview of the DSP functions and implementation used in several DSP-intensive fields or applications, from error correction to CDMA mobile communication to airborne radar systems. This book is intended for those who have absolutely no previous experience with DSP, but are comfortable with high-school-level math skills. It is also for those who work in or provide components for industries that are made possible by DSP. Sample industries include wireless mobile phone and infrastructure equipment, broadcast and cable video, DSL modems, satellite communications, medical imaging, audio, radar, sonar, surveillance, and electrical motor control. - Dismayed when presented with a mass of equations as an explanation of DSP? This is the book for you! - Clear examples and a non-mathematical approach gets you up to speed with DSP - Includes an overview of the DSP functions and implementation used in typical DSP-intensive applications, including error correction, CDMA mobile communication, and radar systems
Author | : John W. Leis |
Publisher | : John Wiley & Sons |
Total Pages | : 352 |
Release | : 2011-10-14 |
Genre | : Science |
ISBN | : 1118033809 |
Quickly Engages in Applying Algorithmic Techniques to Solve Practical Signal Processing Problems With its active, hands-on learning approach, this text enables readers to master the underlying principles of digital signal processing and its many applications in industries such as digital television, mobile and broadband communications, and medical/scientific devices. Carefully developed MATLAB® examples throughout the text illustrate the mathematical concepts and use of digital signal processing algorithms. Readers will develop a deeper understanding of how to apply the algorithms by manipulating the codes in the examples to see their effect. Moreover, plenty of exercises help to put knowledge into practice solving real-world signal processing challenges. Following an introductory chapter, the text explores: Sampled signals and digital processing Random signals Representing signals and systems Temporal and spatial signal processing Frequency analysis of signals Discrete-time filters and recursive filters Each chapter begins with chapter objectives and an introduction. A summary at the end of each chapter ensures that one has mastered all the key concepts and techniques before progressing in the text. Lastly, appendices listing selected web resources, research papers, and related textbooks enable the investigation of individual topics in greater depth. Upon completion of this text, readers will understand how to apply key algorithmic techniques to address practical signal processing problems as well as develop their own signal processing algorithms. Moreover, the text provides a solid foundation for evaluating and applying new digital processing signal techniques as they are developed.
Author | : Jae S. Lim |
Publisher | : |
Total Pages | : 722 |
Release | : 1990 |
Genre | : Computers |
ISBN | : |
New to P-H Signal Processing Series (Alan Oppenheim, Series Ed) this text covers the principles and applications of "multidimensional" and "image" digital signal processing. For Sr/grad level courses in image processing in EE departments.
Author | : Dimitris G. Manolakis |
Publisher | : Cambridge University Press |
Total Pages | : 1009 |
Release | : 2011-11-21 |
Genre | : Technology & Engineering |
ISBN | : 1139495739 |
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.
Author | : Richard G. Lyons |
Publisher | : Pearson Education |
Total Pages | : 1227 |
Release | : 2010-11-01 |
Genre | : Technology & Engineering |
ISBN | : 0137028520 |
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
Author | : Martin Vetterli |
Publisher | : Cambridge University Press |
Total Pages | : 745 |
Release | : 2014-09-04 |
Genre | : Technology & Engineering |
ISBN | : 1139916572 |
This comprehensive and engaging textbook introduces the basic principles and techniques of signal processing, from the fundamental ideas of signals and systems theory to real-world applications. Students are introduced to the powerful foundations of modern signal processing, including the basic geometry of Hilbert space, the mathematics of Fourier transforms, and essentials of sampling, interpolation, approximation and compression The authors discuss real-world issues and hurdles to using these tools, and ways of adapting them to overcome problems of finiteness and localization, the limitations of uncertainty, and computational costs. It includes over 160 homework problems and over 220 worked examples, specifically designed to test and expand students' understanding of the fundamentals of signal processing, and is accompanied by extensive online materials designed to aid learning, including Mathematica® resources and interactive demonstrations.
Author | : Stanley Mneney |
Publisher | : River Publishers |
Total Pages | : 284 |
Release | : 2009-01-10 |
Genre | : Signal processing |
ISBN | : 8792329128 |
Mneney's text focuses on basic concepts of digital signal processing, MATLAB simulation, and implementation on selected DSP hardware.
Author | : Juan Zhang |
Publisher | : Nova Science Publishers |
Total Pages | : 0 |
Release | : 2016 |
Genre | : Signal processing |
ISBN | : 9781634851688 |
The processing of signals or data is one of the cores of the information chain from production to application. More and more signals should be processed digitally in the big data era. Rapid and massive advances in digital signal processing (DSP) technology have been achieved over the past several decades. DSP technology revolutionized the electronics and opto-electronics industries. DSP technology is almost an all-embracing field and is advancing with each passing day. The classical application areas of DSP such as telecommunications, speech and image processing continue to be the main contributor to its growth. This book compiles cutting-edge research in several elementary and advanced topics in DSP, focusing on areas such as filter design algorithms, hardware/software techniques, and their applications. This book has a special emphasis on the modeling and design of optical communication filters. Use of well-developed DSP techniques and algorithms to design the wavelength division multiplexing (WDM) devices is a wise use of existing technology. The authors also share several of their thoughts concerning the practical DSP systems. The DSP theory and hardware for obscured object identification, and its applications in the intelligent baggage scanners are introduced systematically. This book will be helpful for students, researchers and engineers in the DSP fields to understand the basic knowledge and techniques of software, hardware, devices, and systems.