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Digital Sampling: The Design and Use of Music Technologies
by Paul HarkinsDigital Sampling is the first book about the design and use of sampling technologies that have shaped the sounds of popular music since the 1980s. Written in two parts, Digital Sampling begins with an exploration of the Fairlight CMI and how artists like Kate Bush and Peter Gabriel used it to sample the sounds of everyday life. It also focuses on E-mu Systems and the use of its keyboards and drum machines in hip-hop. The second part follows users across a range of musical worlds, including US/UK garage, indie folk music, and electronic music made from the sounds of sewers, war zones, and crematoriums. Using material from interviews and concepts from the field of Science and Technology Studies (STS), Digital Sampling provides a new and alternative approach to the study of sampling and is crucial reading for undergraduates, postgraduates, and researchers from a wide range of disciplines, including music technology, media, communication, and cultural studies.
Digital @ Scale: The Playbook You Need to Transform Your Company
by Anand Swaminathan Jürgen MeffertA blueprint for reinventing the core of your business Value in the next phase of the digital era will go to those companies that don't just try digital but also scale it. Digital@Scale examines what it takes for companies to break through the gravitational pull of their legacy organizations and capture the full value of digital. Digging into more than fifty detailed case studies and years of McKinsey experience and data, the authors, along with a group of expert contributors, show how companies can move beyond incremental change to transform the business where the greatest value is generated—at its core. The authors provide practical insights into the three pillars of digital transformations that successfully scale: reinventing the business model, building out a business architecture from the customer back into the organization, and establishing an 'amoeba' IT and organizational foundation that learns and evolves. This is the ideal guide for all leaders who recognize the power and promise of a digital transformation.
Digital Science: DSIC 2021 (Lecture Notes in Networks and Systems #381)
by Tatiana AntipovaThis book gathers selected papers that were submitted to the 2021 International Conference on Digital Science (DSIC 2021) that aims to make available the discussion and the publication of papers on all aspects of single and multidisciplinary research on conference topics. DSIC 2021 was held on October 15–17, 2021. An important characteristic feature of conference is the short publication time and worldwide distribution. Written by respected researchers, the book covers a range of innovative topics related to: digital economics; digital education; digital engineering; digital environmental sciences; digital finance, business and banking; digital health care, hospitals and rehabilitation; digital media; digital medicine, pharma and public health; digital public administration; digital technology and applied sciences. This book may be used for private and professional non-commercial research and classroom use (e.g., sharing the contribution by mail or in hard copy form with research colleagues for their professional non-commercial research and classroom use); for use in presentations or handouts for any level students, researchers, etc.; for the further development of authors’ scientific career (e.g., by citing, and attaching contributions to job or grant application).
Digital Science 2019: Icis 2019 (Advances in Intelligent Systems and Computing #1114)
by Tatiana Antipova Álvaro RochaThis book presents the proceedings of the 2019 International Conference on Digital Science (DSIC 2019), held in Limassol, Cyprus, on October 11–13, 2019. DSIC 2019 was an international forum for researchers and practitioners to present and discuss the most recent innovations, trends, results, experiences and concerns in digital science. The main goal of the conference was to efficiently disseminate original findings in the natural and social sciences, art & the humanities. The contributions in the book address the following topics: Digital Art & Humanities Digital Economics Digital Education Digital Engineering Digital Finance, Business & Banking Digital Healthcare, Hospitals & Rehabilitation Digital Media Digital Medicine, Pharma & Public Health Digital Public Administration Digital Technology & Applied Sciences Digital Virtual Reality
Digital Screen Mediation in Education: Authentic and Agentive Technology Practices for Teaching and Learning
by Carla MeskillDigital Screen Mediation in Education explores the complex role of visual mediation in today’s digitally enhanced classrooms. While the notion that technology tools have agency—that they act to induce learning—pervades contemporary conversations about pedagogy, this unique volume reframes instructional agency around teachers. The book’s theoretically reinforced and multidisciplinary approach to enhancing effective instruction with screen-based technologies spans aesthetics, technical knowledge, teacher empowerment, social media, and beyond. Researchers in educational technology, instructional design, online learning, and digital pedagogies as well as prospective and practicing educators will find a rigorous treatment of how skilled, thoughtful teaching with, through, and around digital screens can bring about successful learning outcomes.
Digital Services and Platforms. Considerations for Sourcing: 12th Global Sourcing Workshop 2018, La Thuile, Italy, February 21–24, 2018, Revised Selected Papers (Lecture Notes in Business Information Processing #344)
by Julia Kotlarsky Ilan Oshri Leslie WillcocksThis book constitutes revised selected papers from the 12th international Global Sourcing Workshop 2018, held in La Thuile, Italy, in February 2018. The 9 contributions included were carefully reviewed and selected from 40 submissions. The book offers a review of the key topics in sourcing of services, populated with practical frameworks that serve as a tool kit to students and managers. The range of topics covered in this book is wide and diverse, offering micro and macro perspectives on successful sourcing of services. Case studies from various organizations, industries and countries are used extensively throughout the book, giving it a unique position within the current literature offering.
Digital Services in the 21st Century: A Strategic and Business Perspective
by Antonio Sánchez Belén CarroTelecommunication Services provides a holistic approach to understand telecommunications systems by addressing the emergence and domination of new digital services, consumer and economic dynamics, and the creation of content by service providers. Includes services, underlying technologies, and internal capabilities for social network advertising Covers market dynamics that determine the successes and failures of service offerings Discusses the impact of smartphones (iPhone launch) on the telecommunications and mobile device industry
The Digital Shopfloor- Industrial Automation in the Industry 4.0 Era: Performance Analysis and Applications (River Publishers Series In Automation, Control And Robotics Ser.)
by John Soldatos Oscar Lazaro Franco CavadiniIn today’s competitive global environment, manufacturers are offered with unprecedented opportunities to build hyper-efficient and highly flexible plants, towards meeting variable market demand, while at the same time supporting new production models such as make-to-order (MTO), configure-to-order (CTO) and engineer-to-order (ETO). During the last couple of years, the digital transformation of industrial processes is propelled by the emergence and rise of the fourth industrial revolution (Industry4.0). The latter is based on the extensive deployment of Cyber-Physical Production Systems (CPPS) and Industrial Internet of Things (IIoT) technologies in the manufacturing shopfloor, as well as on the seamless and timely exchange of digital information across supply chain participants. The benefits of Industry 4.0 have been already proven in the scope of pilot and production deployments in a number of different use cases including flexibility in automation, predictive maintenance, zero defect manufacturing and more. Despite early implementations and proof-of-concepts, CPPS/IIoT deployments are still in their infancy for a number of reasons, including:• Manufacturers’ poor awareness about digital manufacturing solutions and their business value potential, as well as the lack of relevant internal CPPS/IIoT knowledge.• The high costs that are associated with the deployment, maintenance and operation of CPPS systems in the manufacturing shopfloors, which are particularly challenging in the case of SME (Small Medium Enterprises) manufacturers that lack the equity capital needed to invest in Industry 4.0.• The time needed to implement CPPS/IIoT and the lack of a smooth and proven migration path from existing OT solutions.• The uncertainty over the business benefits and impacts of IIoT and CPPS technologies, including the lack of proven methods for the techno-economic evaluation of Industry4.0 systems. • Manufacturers’ increased reliance on external integrators, consultants and vendors. • The absence of a well-developed value chain needed to sustain the acceptance of these new technologies for digital automation.In order to alleviate these challenges, three European Commission funded projects (namely H2020 FAR-EDGE (http://www.far-edge.eu/), H2020 DAEDALUS (http://daedalus.iec61499.eu) and H2020 AUTOWARE (http://www.autoware-eu.org/)) have recently joined forces towards a “Digital Shopfloor Alliance”. The Alliance aims at providing leading edge and standards based digital automation solutions, along with guidelines and blueprints for their effective deployment, validation and evaluation. The present book provides a comprehensive description of some of the most representative solutions that offered by these three projects, along with the ways these solutions can be combined in order to achieve multiplier effects and maximize the benefits of their use. The presented solutions include standards-based digital automation solutions, following different deployment paradigms, such as cloud and edge computing systems. Moreover, they also comprise a rich set of digital simulation solutions, which are explored in conjunction with the H2020 MAYA project (http://www.maya-euproject.com/). The latter facilitate the testing and evaluation of what-if scenarios at low risk and cost, but also without disrupting shopfloor operations. As already outlined, beyond leading edge scientific and technological development solutions, the book comprises a rich set of complementary assets that are indispensable to the successful adoption of IIoT/CPPS in the shopfloor. The book is structured in three parts as follows: • The first part of the book is devoted to digital automation platforms. Following an introduction to Industry 4.0 in general and digital automation platforms in particular, this part presents the digital automation platforms of the FAR-EDGE, AUTOWARE and DAEDALUS projects. • The second part of the book focuses on the presentation of digital simulation and digital twins’ functionalities. These include information about the models that underpin digital
Digital Signal and Image Processing using MATLAB
by Maurice Charbit Gérard BlanchetThis title provides the most important theoretical aspects of Image and Signal Processing (ISP) for both deterministic and random signals. The theory is supported by exercises and computer simulations relating to real applications. More than 200 programs and functions are provided in the MATLAB(r) language, with useful comments and guidance, to enable numerical experiments to be carried out, thus allowing readers to develop a deeper understanding of both the theoretical and practical aspects of this subject.
Digital Signal and Image Processing using MATLAB, Volume 1: Fundamentals (Digital Signal And Image Processing Ser.)
by Gérard Blanchet Maurice CharbitThis fully revised and updated second edition presents the most important theoretical aspects of Image and Signal Processing (ISP) for both deterministic and random signals. The theory is supported by exercises and computer simulations relating to real applications. More than 200 programs and functions are provided in the MATLABÒ language, with useful comments and guidance, to enable numerical experiments to be carried out, thus allowing readers to develop a deeper understanding of both the theoretical and practical aspects of this subject. This fully revised new edition updates : - the introduction to MATLAB programs and functions as well as the Graphically displaying results for 2D displays - Calibration fundamentals for Discrete Time Signals and Sampling in Deterministic signals - image processing by modifying the contrast - also added are examples and exercises.
Digital Signal and Image Processing using MATLAB, Volume 2
by Gérard Blanchet Maurice CharbitThe most important theoretical aspects of Image and SignalProcessing (ISP) for both deterministic and random signals, thetheory being supported by exercises and computer simulationsrelating to real applications. More than 200 programs and functions are provided in theMATLAB® language, with useful comments and guidance, to enablenumerical experiments to be carried out, thus allowing readers todevelop a deeper understanding of both the theoretical andpractical aspects of this subject. Following on from thefirst volume, this second installation takes a more practicalstance, providing readers with the applications of ISP.
Digital Signal Processing: A Primer With MATLAB®
by Samir I. AboodDigital 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.
Digital Signal Processing: Theory and Practice
by Maurice BellangerDIGITAL SIGNAL PROCESSING Understand the future of signal processing with the latest edition of this groundbreaking text Signal processing is a key aspect of virtually all engineering fields. Digital techniques enormously expand the possible applications of signal processing, forming a part of not only conventional engineering projects but also data analysis and artificial intelligence. There are considerable challenges raised by these techniques, however, as the gulf between theory and practice can be wide; the successful integration of digital signal processing techniques requires engineers capable of bridging this gulf. For years, Digital Signal Processing has met this need with a comprehensive guide that consistently connects abstract theory with practical applications. Now fully updated to reflect the most recent developments in this crucial field, the tenth* edition of this seminal text promises to foster a broader understanding of signal processing among a new generation of engineers and researchers. Readers of the new edition of Digital Signal Processing will also find: Exercises at the end of each chapter to reinforce key conceptsA new chapter covering digital signal processing for neural networksHandy structure beginning with undergraduate-level material before moving to more advanced concepts in the second half Digital Signal Processing is a must-own for students, researchers, and industry professionals in any of the hundreds of fields and subfields that make use of signal processing algorithms. *This is the English language translation of the French original Traitement Numérique du Signal 10th edition by Maurice Bellanger © Dunod 2022 and is the 4th edition in English.
Digital Signal Processing: Illustration Using Python
by S Esakkirajan T Veerakumar Badri N SubudhiDigital signal processing deals with extraction of useful information from signals. Signal processing algorithms help observe, analyse and transform signals. The objective of this book is to develop signal processing algorithms using Python. Python is an interpreted, object-oriented high-level programming language widely used in various software development fields such as data science, machine learning, web development and more. Digital Signal Laboratory is playing an important role in realizing signal processing algorithms, utilizing different software solutions. The intention of this textbook is to implement signal processing algorithms using Python. Since Python is an open-source language, students, researchers, and faculty can install and work with it without spending money, reducing the financial burden on institutions. Each chapter in this book begins with prelab questions, a set of Python examples to illustrate the concepts, exercises to strengthen the understanding of the concepts, and objective questions to help students prepare for competitive examinations. This book serves as an undergraduate textbook, it can be used for individual study, and it can also be used as the textbook for related courses.
Digital Signal Processing: A Breadth-First Approach
by Muhammad Khan Syed K. Hasnain Mohsin JamilThe 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: Theory And Practice
by M.N.S. Swamy K. Deergha RaoThe book provides a comprehensive exposition of all major topics in digital signal processing (DSP). With numerous illustrative examples for easy understanding of the topics, it also includes MATLAB-based examples with codes in order to encourage the readers to become more confident of the fundamentals and to gain insights into DSP. Further, it presents real-world signal processing design problems using MATLAB and programmable DSP processors. In addition to problems that require analytical solutions, it discusses problems that require solutions using MATLAB at the end of each chapter.Divided into 13 chapters, it addresses many emerging topics, which are not typically found in advanced texts on DSP. It includes a chapter on adaptive digital filters used in the signal processing problems for faster acceptable results in the presence of changing environments and changing system requirements. Moreover, it offers an overview of wavelets, enabling readers to easily understand the basics and applications of this powerful mathematical tool for signal and image processing. The final chapter explores DSP processors, which is an area of growing interest for researchers. A valuable resource for undergraduate and graduate students, it can also be used for self-study by researchers, practicing engineers and scientists in electronics, communications, and computer engineering as well as for teaching one- to two-semester courses.
Digital Signal Processing
by Peter O’shea Amin Z. Sadik Zahir M. HussainIn three parts, this book contributes to the advancement of engineering education and that serves as a general reference on digital signal processing. Part I presents the basics of analog and digital signals and systems in the time and frequency domain. It covers the core topics: convolution, transforms, filters, and random signal analysis. It also treats important applications including signal detection in noise, radar range estimation for airborne targets, binary communication systems, channel estimation, banking and financial applications, and audio effects production. Part II considers selected signal processing systems and techniques. Core topics covered are the Hilbert transformer, binary signal transmission, phase-locked loops, sigma-delta modulation, noise shaping, quantization, adaptive filters, and non-stationary signal analysis. Part III presents some selected advanced DSP topics.
Digital Signal Processing: An Introduction
by D. SundararajanThis textbook for a one semester introductory course in digital signal processing for senior undergraduate and first year graduate students in electrical and computer engineering departments is concise, highly readable, and yet provides comprehensive coverage of the topic. Each new topic is presented with examples and figures. The highly mathematical content of the topic is presented lucidly to make the learning the subject easier. Practical aspects of the subject are clearly indicated so that the student can apply the principles in real applications. Matlab programs for FIR and IIR filter design are provided as supplementary material online.
Digital Signal Processing: An Introduction
by Dr. D. SundararajanThis textbook for a one semester introductory course in digital signal processing for senior undergraduate and first year graduate students in electrical and computer engineering departments is concise, highly readable, and yet provides comprehensive coverage of the topic. Each new topic is presented with examples and figures. The highly mathematical content of the topic is presented lucidly to make the learning the subject easier. Practical aspects of the subject are clearly indicated so that the student can apply the principles in real applications. Matlab programs for FIR filter design are provided as supplementary material online.
Digital Signal Processing Algorithms: Number Theory, Convolution, Fast Fourier Transforms, and Applications
by Hari KrishnaDigital Signal Processing Algorithms describes computational number theory and its applications to deriving fast algorithms for digital signal processing. It demonstrates the importance of computational number theory in the design of digital signal processing algorithms and clearly describes the nature and structure of the algorithms themselves. The book has two primary focuses: first, it establishes the properties of discrete-time sequence indices and their corresponding fast algorithms; and second, it investigates the properties of the discrete-time sequences and the corresponding fast algorithms for processing these sequences.Digital Signal Processing Algorithms examines three of the most common computational tasks that occur in digital signal processing; namely, cyclic convolution, acyclic convolution, and discrete Fourier transformation. The application of number theory to deriving fast and efficient algorithms for these three and related computationally intensive tasks is clearly discussed and illustrated with examples. Its comprehensive coverage of digital signal processing, computer arithmetic, and coding theory makes Digital Signal Processing Algorithms an excellent reference for practicing engineers. The authors' intent to demystify the abstract nature of number theory and the related algebra is evident throughout the text, providing clear and precise coverage of the quickly evolving field of digital signal processing.
Digital Signal Processing and Spectral Analysis for Scientists
by Silvia Maria AlessioThis book covers the basics of processing and spectral analysis of monovariate discrete-time signals. The approach is practical, the aim being to acquaint the reader with the indications for and drawbacks of the various methods and to highlight possible misuses. The book is rich in original ideas, visualized in new and illuminating ways, and is structured so that parts can be skipped without loss of continuity. Many examples are included, based on synthetic data and real measurements from the fields of physics, biology, medicine, macroeconomics etc. , and a complete set of MATLAB exercises requiring no previous experience of programming is provided. Prior advanced mathematical skills are not needed in order to understand the contents: a good command of basic mathematical analysis is sufficient. Where more advanced mathematical tools are necessary, they are included in an Appendix and presented in an easy-to-follow way. With this book, digital signal processing leaves the domain of engineering to address the needs of scientists and scholars in traditionally less quantitative disciplines, now facing increasing amounts of data.
Digital Signal Processing (DSP) with Python Programming
by Maurice CharbitThe parameter estimation and hypothesis testing are the basic tools in statistical inference. These techniques occur in many applications of data processing., and methods of Monte Carlo have become an essential tool to assess performance. For pedagogical purposes the book includes several computational problems and exercices. To prevent students from getting stuck on exercises, detailed corrections are provided.
Digital Signal Processing for In-Vehicle Systems and Safety
by Kazuya Takeda Hüseyin Abut Pinar Boyraz John H.L. HansenCompiled from papers of the 4th Biennial Workshop on DSP (Digital Signal Processing) for In-Vehicle Systems and Safety this edited collection features world-class experts from diverse fields focusing on integrating smart in-vehicle systems with human factors to enhance safety in automobiles. Digital Signal Processing for In-Vehicle Systems and Safety presents new approaches on how to reduce driver inattention and prevent road accidents. The material addresses DSP technologies in adaptive automobiles, in-vehicle dialogue systems, human machine interfaces, video and audio processing, and in-vehicle speech systems. The volume also features recent advances in Smart-Car technology, coverage of autonomous vehicles that drive themselves, and information on multi-sensor fusion for driver ID and robust driver monitoring. Digital Signal Processing for In-Vehicle Systems and Safety is useful for engineering researchers, students, automotive manufacturers, government foundations and engineers working in the areas of control engineering, signal processing, audio-video processing, bio-mechanics, human factors and transportation engineering.
Digital Signal Processing for Multimedia Systems (Signal Processing and Communications #Vol. 1)
by Keshab K. Parhi Takao NishitaniAddresses a wide selection of multimedia applications, programmable and custom architectures for the implementations of multimedia systems, and arithmetic architectures and design methodologies. The book covers recent applications of digital signal processing algorithms in multimedia, presents high-speed and low-priority binary and finite field arithmetic architectures, details VHDL-based implementation approaches, and more.
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.