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Digital Signal Processing for RFID
by Feng Zheng Thomas KaiserThis book discusses the fundamentals of RFID (operating principles, modulation schemes, channel models, etc.) and the state-of-the-art research results in signal processing for passive RFID; MIMO, blind source separation, interference avoidance (i.e. anti-collision), and spatial localization. The book consists of the following chapters: Introduction (overview of different automatic ID identification systems e.g. RFID, barcode, biometrics, smart cards); Chapter 2: Fundamentals of RFID systems (operating principles, passive, semi-passive, and active RFID, analog circuits for RFID, channel models, basic signal processing, and challenges); Chapter 3: Advanced modulation schemes for RFID; Chapter 4: Multiple antennas for RFID (MIMO principles, MIMO-RFID channel models, signal design, and space-time coding); Chapter 5: Blind signal processing; Chapter 6: Anti-collision for multiple RFID tags; Chapter 7: Localization with RFID.
Digital Signal Processing for Wireless Communication using Matlab
by E. S. GopiThis book examines signal processing techniques used in wireless communication illustrated by using the Matlab program. The author discusses these techniques as they relate to Doppler spread, Delay spread, Rayleigh and Rician channel modeling, rake receiver, diversity techniques, MIMO and OFDM based transmission techniques, and array signal processing. Related topics such as detection theory, Link budget, Multiple access techniques, spread spectrum, are also covered. * Illustrates signal processing techniques involved in wireless communication * Discusses multiple access techniques such as Frequency division multiple access, Time division multiple access, and Code division multiple access * Covers band pass modulation techniques such as Binary phase shift keying, Differential phase shift keying, Quadrature phase shift keying, Binary frequency shift keying, Minimum shift keying, and Gaussian minimum shift keying.
Digital Signal Processing for Wireless Communication using Matlab (Signals and Communication Technology)
by E.S. GopiThe updated book presents Matlab illustrations on various digital signal processing (DSP) techniques such as random process, time varying wireless system model, and detection and estimation theory used in wireless communication. The book also covers recent wireless techniques like OFDM, massive MIMO techniques, non-orthogonal multiple access, millimeter wave MIMO, full duplex, cognitive radio, co-operating communication, unmanned aerial vehicles etc. This book is suitable for those who are doing basic and applied research in digital signal processing for wireless communication.
Digital Signal Processing Fundamentals (The Digital Signal Processing Handbook, Second Edition)
by Vijay MadisettiNow available in a three-volume set, this updated and expanded edition of the bestselling The Digital Signal Processing Handbook continues to provide the engineering community with authoritative coverage of the fundamental and specialized aspects of information-bearing signals in digital form. Encompassing essential background material, technical details, standards, and software, the second edition reflects cutting-edge information on signal processing algorithms and protocols related to speech, audio, multimedia, and video processing technology associated with standards ranging from WiMax to MP3 audio, low-power/high-performance DSPs, color image processing, and chips on video. Drawing on the experience of leading engineers, researchers, and scholars, the three-volume set contains 29 new chapters that address multimedia and Internet technologies, tomography, radar systems, architecture, standards, and future applications in speech, acoustics, video, radar, and telecommunications. Emphasizing theoretical concepts, Digital Signal Processing Fundamentals provides comprehensive coverage of the basic foundations of DSP and includes the following parts: Signals and Systems; Signal Representation and Quantization; Fourier Transforms; Digital Filtering; Statistical Signal Processing; Adaptive Filtering; Inverse Problems and Signal Reconstruction; and Time–Frequency and Multirate Signal Processing.
Digital Signal Processing in Audio and Acoustical Engineering
by Francis F. Li Trevor J. CoxStarting with essential maths, fundamentals of signals and systems, and classical concepts of DSP, this book presents, from an application-oriented perspective, modern concepts and methods of DSP including machine learning for audio acoustics and engineering. Content highlights include but are not limited to room acoustic parameter measurements, filter design, codecs, machine learning for audio pattern recognition and machine audition, spatial audio, array technologies and hearing aids. Some research outcomes are fed into book as worked examples. As a research informed text, the book attempts to present DSP and machine learning from a new and more relevant angle to acousticians and audio engineers. Some MATLAB® codes or frameworks of algorithms are given as downloads available on the CRC Press website. Suggested exploration and mini project ideas are given for "proof of concept" type of exercises and directions for further study and investigation. The book is intended for researchers, professionals, and senior year students in the field of audio acoustics.
Digital Signal Processing In High-Speed Optical Fiber Communication Principle and Application
by Jianjun Yu Nan ChiThis book presents the principles and applications of optical fiber communication based on digital signal processing (DSP) for both single and multi-carrier modulation signals. In the context of single carrier modulation, it describes DSP for linear and nonlinear optical fiber communication systems, discussing all-optical Nyquist modulation signal generation and processing, and how to use probabilistic and geometrical shaping to improve the transmission performance. For multi-carrier modulation, it examines DSP-based OFDM signal generation and detection and presents 4D and high-order modulation formats. Lastly, it demonstrates how to use artificial intelligence in optical fiber communication. As such it is a useful resource for students, researches and engineers in the field of optical fiber communication.
Digital Signal Processing in Power Electronics Control Circuits
by Krzysztof SozańskiMany digital control circuits in current literature are described using analog transmittance. This may not always be acceptable, especially if the sampling frequency and power transistor switching frequencies are close to the band of interest. Therefore, a digital circuit is considered as a digital controller rather than an analog circuit. This helps to avoid errors and instability in high frequency components. Digital Signal Processing in Power Electronics Control Circuits covers problems concerning the design and realization of digital control algorithms for power electronics circuits using digital signal processing (DSP) methods. This book bridges the gap between power electronics and DSP. The following realizations of digital control circuits are considered: digital signal processors, microprocessors, microcontrollers, programmable digital circuits. Discussed in this book is signal processing, starting from analog signal acquisition, through its conversion to digital form, methods of its filtration and separation, and ending with pulse control of output power transistors. The book is focused on two applications for the considered methods of digital signal processing: an active power filter and a digital class D power amplifier. The major benefit to readers is the acquisition of specific knowledge concerning discussions on the processing of signals from voltage or current sensors using a digital signal processor and to the signals controlling the output inverter transistors. Included are some Matlab examples for illustration of the considered problems.
Digital Signal Processing in Power System Protection and Control
by Janusz Szafran Waldemar Rebizant Andrzej WiszniewskiDigital Signal Processing in Power System Protection and Control bridges the gap between the theory of protection and control and the practical applications of protection equipment. Understanding how protection functions is crucial not only for equipment developers and manufacturers, but also for their users who need to install, set and operate the protection devices in an appropriate manner. After introductory chapters related to protection technology and functions, Digital Signal Processing in Power System Protection and Control presents the digital algorithms for signal filtering, followed by measurement algorithms of the most commonly-used protection criteria values and decision-making methods in protective relays. A large part of the book is devoted to the basic theory and applications of artificial intelligence techniques for protection and control. Fuzzy logic based schemes, artificial neural networks, expert systems and genetic algorithms with their advantages and drawbacks are discussed. AI techniques are compared and it is also shown how they can be combined to eliminate the disadvantages and magnify the useful features of particular techniques. The information provided in Digital Signal Processing in Power System Protection and Control can be useful for protection engineers working in utilities at various levels of the electricity network, as well as for students of electrical engineering, especially electrical power engineering. It may also be helpful for other readers who want to get acquainted with and to apply the filtering, measuring and decision-making algorithms for purposes other than protection and control, everywhere fast and on-line signal analysis is needed for proper functioning of the apparatus.
Digital Signal Processing Using the ARM Cortex M4
by Donald S. ReayFeatures inexpensive ARM(R) Cortex(R)-M4 microcontroller development systems available from Texas Instruments and STMicroelectronics. This book presents a hands-on approach to teaching Digital Signal Processing (DSP) with real-time examples using the ARM(R) Cortex(R)-M4 32-bit microprocessor. Real-time examples using analog input and output signals are provided, giving visible (using an oscilloscope) and audible (using a speaker or headphones) results. Signal generators and/or audio sources, e. g. iPods, can be used to provide experimental input signals. The text also covers the fundamental concepts of digital signal processing such as analog-to-digital and digital-to-analog conversion, FIR and IIR filtering, Fourier transforms, and adaptive filtering. "Digital Signal Processing Using the ARM(R) Cortex(R)-M4: " Uses a large number of simple example programs illustrating DSP concepts in real-time, in an electrical engineering laboratory setting Includes examples for both STM32F407 Discovery and the TM4C123 Launchpad, using "Keil MDK-ARM," on a companion website Example programs for the TM4C123 Launchpad using" Code Composer Studio version 6" available on companion website "Digital Signal Processing Using the ARM(R) Cortex(R)-M4" serves as a teaching aid for university professors wishing to teach DSP using laboratory experiments, and for students or engineers wishing to study DSP using the inexpensive ARM(R) Cortex(R)-M4. Donald Reay is a lecturer in electrical engineering at Heriot-Watt University in Edinburgh, Scotland. He has also taught hands-on DSP, on a number of occasions, as a visiting lecturer at Zhejiang University in Hangzhou, China. He co-authored "Digital Signal Processing and Applications with the TMS320C6713 and TMS320C6416 DSK, Second Edition" (Wiley 2008) with Rulph Chassaing, and is the author of "Digital Signal Processing and Applications with the OMAP-L138 eXperimenter" (Wiley 2012).
Digital Signal Processing with Examples in MATLAB
by Samuel D. Stearns Donald R. HushBased on fundamental principles from mathematics, linear systems, and signal analysis, digital signal processing (DSP) algorithms are useful for extracting information from signals collected all around us. Combined with today's powerful computing capabilities, they can be used in a wide range of application areas, including engineering, communicati
Digital Signal Processing with Kernel Methods
by José Luis Rojo-Álvarez Manel Martínez-Ramón Jordi Muñoz-Marí Gustau Camps-VallsA realistic and comprehensive review of joint approaches to machine learning and signal processing algorithms, with application to communications, multimedia, and biomedical engineering systems Digital Signal Processing with Kernel Methods reviews the milestones in the mixing of classical digital signal processing models and advanced kernel machines statistical learning tools. It explains the fundamental concepts from both fields of machine learning and signal processing so that readers can quickly get up to speed in order to begin developing the concepts and application software in their own research. Digital Signal Processing with Kernel Methods provides a comprehensive overview of kernel methods in signal processing, without restriction to any application field. It also offers example applications and detailed benchmarking experiments with real and synthetic datasets throughout. Readers can find further worked examples with Matlab source code on a website developed by the authors. Presents the necessary basic ideas from both digital signal processing and machine learning concepts Reviews the state-of-the-art in SVM algorithms for classification and detection problems in the context of signal processing Surveys advances in kernel signal processing beyond SVM algorithms to present other highly relevant kernel methods for digital signal processing An excellent book for signal processing researchers and practitioners, Digital Signal Processing with Kernel Methods will also appeal to those involved in machine learning and pattern recognition.
Digital Signal Processing with Matlab Examples, Volume 1
by Jose Maria Giron-SierraThis is the first volume in a trilogy on modern Signal Processing. The three books provide a concise exposition of signal processing topics, and a guide to support individual practical exploration based on MATLAB programs.This book includes MATLAB codes to illustrate each of the main steps of the theory, offering a self-contained guide suitable for independent study. The code is embedded in the text, helping readers to put into practice the ideas and methods discussed.The book is divided into three parts, the first of which introduces readers to periodic and non-periodic signals. The second part is devoted to filtering, which is an important and commonly used application. The third part addresses more advanced topics, including the analysis of real-world non-stationary signals and data, e.g. structural fatigue, earthquakes, electro-encephalograms, birdsong, etc. The book’s last chapter focuses on modulation, an example of the intentional use of non-stationary signals.
Digital Signal Processing with Matlab Examples, Volume 2
by Jose Maria Giron-SierraThis is the second volume in a trilogy on modern Signal Processing. The three books provide a concise exposition of signal processing topics, and a guide to support individual practical exploration based on MATLAB programs.This second book focuses on recent developments in response to the demands of new digital technologies. It is divided into two parts: the first part includes four chapters on the decomposition and recovery of signals, with special emphasis on images. In turn, the second part includes three chapters and addresses important data-based actions, such as adaptive filtering, experimental modeling, and classification.
Digital Signal Processing with Matlab Examples, Volume 3
by Jose Maria Giron-SierraThis is the third volume in a trilogy on modern Signal Processing. The three books provide a concise exposition of signal processing topics, and a guide to support individual practical exploration based on MATLAB programs. This book includes MATLAB codes to illustrate each of the main steps of the theory, offering a self-contained guide suitable for independent study. The code is embedded in the text, helping readers to put into practice the ideas and methods discussed. The book primarily focuses on filter banks, wavelets, and images. While the Fourier transform is adequate for periodic signals, wavelets are more suitable for other cases, such as short-duration signals: bursts, spikes, tweets, lung sounds, etc. Both Fourier and wavelet transforms decompose signals into components. Further, both are also invertible, so the original signals can be recovered from their components. Compressed sensing has emerged as a promising idea. One of the intended applications is networked devices or sensors, which are now becoming a reality; accordingly, this topic is also addressed. A selection of experiments that demonstrate image denoising applications are also included. In the interest of reader-friendliness, the longer programs have been grouped in an appendix; further, a second appendix on optimization has been added to supplement the content of the last chapter.
A Digital Signal Processor for Particle Detectors: Design, Verification and Testing (Springer Theses)
by Arild VelureTo cope with the new running conditions in the ALICE experiment at the Large Hadron Collider at CERN, a new integrated circuit named SAMPA has been created that can process 32 analogue channels, convert them to digital, perform filtering and compression, and transmit the data on high speed links to the data acquisition system. The main purpose of this work is to specify, design, test and verify the digital signal processing part of the SAMPA device to accommodate the requirements of the detectors involved. Innovative solutions have been employed to reduce the bandwidth required by the detectors, as well as adaptations to ease data handling later in the processing chain. The new SAMPA device was built to replace two existing circuits, in addition to reducing the current consumption, and doubling the amount of processing channels. About 50000 of the devices will be installed in the Time Projection Chamber and Muon Chamber detectors in the ALICE experiment.
Digital Signals Theory
by Brian McFeeWhere most introductory texts to the field of digital signal processing assume a degree of technical knowledge, this class-tested textbook provides a comprehensive introduction to the fundamentals of digital signal processing in a way that is accessible to all. Beginning from the first principles, readers will learn how signals are acquired, represented, analyzed and transformed by digital computers. Specific attention is given to digital sampling, discrete Fourier analysis and linear filtering in the time and frequency domains. All concepts are introduced practically and theoretically, combining intuitive illustrations, mathematical derivations and software implementations written in the Python programming language. Practical exercises are included at the end of each chapter to test readers’ knowledge. Written in a clear and accessible style, this book is particularly aimed at students and general readers interested in audio and digital signal processing but who may not have extensive mathematical or engineering training.
Digital Signatures: The Impact of Digitization on Popular Music Sound (The\mit Press Ser.)
by Ragnhild Brovig-Hanssen Anne DanielsenHow sonically distinctive digital “signatures”—including reverb, glitches, and autotuning—affect the aesthetics of popular music, analyzed in works by Prince, Lady Gaga, and others. Is digital production killing the soul of music? Is Auto-Tune the nadir of creative expression? Digital technology has changed not only how music is produced, distributed, and consumed but also—equally important but not often considered—how music sounds. In this book, Ragnhild Brøvig-Hanssen and Anne Danielsen examine the impact of digitization on the aesthetics of popular music. They investigate sonically distinctive “digital signatures”—musical moments when the use of digital technology is revealed to the listener. The particular signatures of digital mediation they examine include digital reverb and delay, MIDI and sampling, digital silence, the virtual cut-and-paste tool, digital glitches, microrhythmic manipulation, and autotuning—all of which they analyze in specific works by popular artists.Combining technical and historical knowledge of music production with musical analyses, aesthetic interpretations, and theoretical discussions, Brøvig-Hanssen and Danielsen offer unique insights into how digitization has changed the sound of popular music and the listener's experience of it. For example, they show how digital reverb and delay have allowed experimentation with spatiality by analyzing Kate Bush's “Get Out of My House”; they examine the contrast between digital silence and the low-tech noises of tape hiss or vinyl crackle in Portishead's “Stranger”; and they describe the development of Auto-Tune—at first a tool for pitch correction—into an artistic effect, citing work by various hip-hop artists, Bon Iver, and Lady Gaga.
Digital Signatures: The Impact of Digitization on Popular Music Sound
by Anne Danielsen Ragnhild Brøvig-HanssenIs digital production killing the soul of music? Is Auto-Tune the nadir of creative expression? Digital technology has changed not only how music is produced, distributed, and consumed but also -- equally important but not often considered -- how music sounds. In this book, Ragnhild Brøvig-Hanssen and Anne Danielsen examine the impact of digitization on the aesthetics of popular music. They investigate sonically distinctive "digital signatures" -- musical moments when the use of digital technology is revealed to the listener. The particular signatures of digital mediation they examine include digital reverb and delay, MIDI and sampling, digital silence, the virtual cut-and-paste tool, digital glitches, microrhythmic manipulation, and autotuning -- all of which they analyze in specific works by popular artists.Combining technical and historical knowledge of music production with musical analyses, aesthetic interpretations, and theoretical discussions, Brøvig-Hanssen and Danielsen offer unique insights into how digitization has changed the sound of popular music and the listener's experience of it. For example, they show how digital reverb and delay have allowed experimentation with spatiality by analyzing Kate Bush's "Get Out of My House"; they examine the contrast between digital silence and the low-tech noises of tape hiss or vinyl crackle in Portishead's "Stranger"; and they describe the development of Auto-Tune -- at first a tool for pitch correction -- into an artistic effect, citing work by various hip-hop artists, Bon Iver, and Lady Gaga.
Digital Sketching: Computer-Aided Conceptual Design (Practical Revolution)
by John BacusLearn to apply new digital design technologies at your own firm with this practical and insightful resource Digital Sketching: Computer-Aided Conceptual Design delivers a comprehensive and insightful examination of how architects and other design professionals can best use digital design technology to become better designers. Celebrated professional, professor, and author John Bacus provides readers with practical and timely information on emerging digital design technologies and their effect on professional practice. By focusing on the big picture, this rigorous survey of conceptual design technology offers professionals realistic strategies for reclaiming time for design in the ever increasing speed of project delivery. This book helps architects (and others like them) learn to use digital sketching techniques to be better designers, right from the project’s very first sketch. As part of the groundbreaking Practical Revolutions series of books, Digital Sketching furthers the conversation of the practical deployment of emerging technologies in the building industries. This book provides readers with the information they need to evaluate digital design technology and decide whether or not to adopt and integrate it into their own processes. Readers will receive: An accelerated and accessible introduction to a highly technical topic Practical and applicable guidance on how to adapt a firm’s business to adopt new technology without losing the benefit of existing intuition, skill, and experience. Real world implementations of specific techniques in the form of illuminating case studies that include results and lessons learned Perfect for professional architectural designers, Digital Sketching also belongs on the bookshelves of interior designers, landscape architects, urban planners, contractors, and specialty fabricators of every kind. A disciplined sketching practice, especially through the digital methods discussed in this book, is a transformational benefit to anyone who designs and builds for a living.
Digital Skill Development for Industry 4.0
by P. Kaliraj G. Singaravelu T. DeviThe Fourth Industrial Revolution, Industry 4.0, is changing the world, and digital transformation technology tools have impacted every walk of life. The nature of work and careers is changing fast – and in the future, the right skills will be prized over academic qualifications. Students must develop various skills, especially technology skills, to become the workforce of the future; the onus of developing these skills falls on educational institutions. The development of innovation and ideation skills in students is a must for them to productively contribute to a future economy. They should have the capability to translate ideas into solutions, products, and systems that are scalable, practically feasible, and adaptable.To prepare students for this digital world, Digital Skill Development for Industry 4.0 contains chapters on developing: Professional skills, cognitive learning Critical thinking skills among modern learners Motivation and student engagement Invoking interest of students Student engagement in e-learning Contextual learning Experimental learning Multidisciplinary learning The book is written for the academic and administrative community of universities and colleges who intend to equip their modern learners with the skills of Industry 4.0. It is also useful as a reference for undergraduate and postgraduate courses, as well as doctoral programs. The book can also serve as a comprehensive reference guide for researchers in the development of tools incorporating new skills and technologies. Practitioners who are interested in introducing digital skill development for Industry 4.0 and its tools to solve real‑world problems can also use this book.
Digital Society for the IB Diploma
by Eli Bomfim Tammy Earle Michael Fitzpatrick Carol Hancox Jonathon Levin Barbara StefanicsDeveloped in cooperation with the International Baccalaureate®Ensure full coverage of the new Digital Society course with this accessible coursebook written by an experienced international team of IB educators and examiners, enabling students to build skills and understand the importance and impact of digital systems and technologies in the contemporary world.- Explore digital society through the key concepts, content and contexts of the syllabus with clear, real world, internationally-minded examples for each topic.- Delve into the higher-level extension challenges and interventions in digital society using contemporary,real-world issues that allow students to formulate their own recommendations, with chapter reflections to consolidate learning throughout.- Essential tools for inquiry are integrated throughout the course, with links to ATL, TOK, and extended essay.- Specific chapters and activities are featured for conducting inquiries suitable for SL and HL students, with added extended inquiries for HL students.- Prepare for the inquiry project with step-by-step guidance, advice, practice questions and top tips onhow to maximise potential in the assessment.
Digital Society for the IB Diploma
by Eli Bomfim Tammy Earle Michael Fitzpatrick Carol Hancox Jonathon Levin Barbara StefanicsDeveloped in cooperation with the International Baccalaureate®Ensure full coverage of the new Digital Society course with this accessible coursebook written by an experienced international team of IB educators and examiners, enabling students to build skills and understand the importance and impact of digital systems and technologies in the contemporary world.- Explore digital society through the key concepts, content and contexts of the syllabus with clear, real world, internationally-minded examples for each topic.- Delve into the higher-level extension challenges and interventions in digital society using contemporary,real-world issues that allow students to formulate their own recommendations, with chapter reflections to consolidate learning throughout.- Essential tools for inquiry are integrated throughout the course, with links to ATL, TOK, and extended essay.- Specific chapters and activities are featured for conducting inquiries suitable for SL and HL students, with added extended inquiries for HL students.- Prepare for the inquiry project with step-by-step guidance, advice, practice questions and top tips onhow to maximise potential in the assessment.
Digital Sociology
by Kate Orton-Johnson Nick PriorSociology and our sociological imaginations are having to confront new digital landscapes spanning mediated social relationships, practices and social structures. This volume assesses the substantive challenges faced by the discipline as it critically reassesses its position in the digital age.
Digital Soil Assessments and Beyond: Proceedings of the 5th Global Workshop on Digital Soil Mapping 2012, Sydney, Australia
by Budiman Minasny Brendan P. Malone Alex B. McBratneyDigital soil assessments and beyond contains papers presented at the 5th Global Workshop on Digital Soil Mapping, held 10-13 April 2012 at the University of Sydney, Australia. The contributions demonstrate the latest developments in digital soil mapping as a discipline with a special focus on the use of map products to drive policy decisions partic
Digital Soil Mapping Across Paradigms, Scales and Boundaries
by Gan-Lin Zhang Dick Brus Feng Liu Xiao-Dong Song Philippe LagacherieThis book contains papers presented at the 6th Global Workshop on Digital SoilMapping, held 11-14 November 2014 at the Institute of Soil Science, ChineseAcademy of Sciences of Nanjing, China. Digital soil mapping is advancing ondifferent fronts at different paces throughout the world. The researches andapplications on DSM are moving from method development to realizations indifferent scales and regions, serving the generation of national andcontinental to global soil grids. Meanwhile, new ideas and insights on mapping complex soil-landscapes such as flat plains,anthropogenically altered agriculture and urban spaces are emerging, with the help of new paradigms and models. The goal of the sixth workshop was to review and discuss the state ofthe art in digital soil mapping, and to explore strategies for bridgingresearch, production, and environmental applications. Thisbook provides a very useful and comprehensive overview of the status of digitalsoil mapping, in which graduate students, scientists and specialists workingwithin the field of geography can find the spatial prediction approaches andrelated theory.