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| digital signal processing by proakis and manolakis: Digital Signal Processing John G. Proakis, Dimitris G. Manolakis, 2007 A significant revision of a best-selling text for the introductory digital signal processing course. This book presents the fundamentals of discrete-time signals, systems, and modern digital processing and applications for students in electrical engineering, computer engineering, and computer science. The book is suitable for either a one-semester or a two-semester undergraduate level course in discrete systems and digital signal processing. It is also intended for use in a one-semester first-year graduate-level course in digital signal processing. |
| digital signal processing by proakis and manolakis: Digital Signal Processing, 4e Proakis, This fourth edition covers the fundamentals of discrete-time signals, systems, and modern digital signal processing. Appropriate for students of electrical engineering, computer engineering, and computer science, the book is suitable for undergraduate and graduate courses and provides balanced coverage of both theory and practical applications. |
| digital signal processing by proakis and manolakis: Introduction to Digital Signal Processing Vinay K. Ingle, John G. Proakis, 2000-09 This text provides a basic understanding of digital signal processing concepts and techniques. It begins with the characterization of discrete-time signals and systems in the time and frequency domains augmented by MATLAB functions. It then covers Fourier analysis based on digital techniques. |
| digital signal processing by proakis and manolakis: Digital Signal Processing John G. Proakis, Dimitris G Manolakis, 2013-08-29 A significant revision of a best-selling text for the introductory digital signal processing course. This book presents the fundamentals of discrete-time signals, systems, and modern digital processing and applications for students in electrical engineering, computer engineering, and computer science.The book is suitable for either a one-semester or a two-semester undergraduate level course in discrete systems and digital signal processing. It is also intended for use in a one-semester first-year graduate-level course in digital signal processing. The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed. |
| digital signal processing by proakis and manolakis: Digital Signal Processing , 2007 |
| digital signal processing by proakis and manolakis: Introduction to Digital Signal Processing John G. Proakis, Dimitris G. Manolakis, 1988-01-01 |
| digital signal processing by proakis and manolakis: Digital Signal Processing Using MATLAB Vinay K. Ingle, John G. Proakis, 2012 |
| digital signal processing by proakis and manolakis: Digital Signal Processing Thomas Holton, 2021-02-18 A comprehensive and mathematically accessible introduction to digital signal processing, covering theory, advanced topics, and applications. |
| digital signal processing by proakis and manolakis: Theory and Application of Digital Signal Processing Lawrence R. Rabiner, Bernard Gold, 2016 |
| digital signal processing by proakis and manolakis: Fundamentals of Statistical Signal Processing Steven M. Kay, 2013 For those involved in the design and implementation of signal processing algorithms, this book strikes a balance between highly theoretical expositions and the more practical treatments, covering only those approaches necessary for obtaining an optimal estimator and analyzing its performance. Author Steven M. Kay discusses classical estimation followed by Bayesian estimation, and illustrates the theory with numerous pedagogical and real-world examples.--Cover, volume 1. |
| digital signal processing by proakis and manolakis: Applied Digital Signal Processing Dimitris G. Manolakis, Vinay K. Ingle, 2011-11-21 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. |
| digital signal processing by proakis and manolakis: Digital Signal Processing Using MATLAB Vinay K. Ingle, John G. Proakis, 2007 This supplement to any standard DSP text is one of the first books to successfully integrate the use of MATLAB® in the study of DSP concepts. In this book, MATLAB® is used as a computing tool to explore traditional DSP topics, and solve problems to gain insight. This greatly expands the range and complexity of problems that students can effectively study in the course. Since DSP applications are primarily algorithms implemented on a DSP processor or software, a fair amount of programming is required. Using interactive software such as MATLAB® makes it possible to place more emphasis on learning new and difficult concepts than on programming algorithms. Interesting practical examples are discussed and useful problems are explored. This updated second edition includes new homework problems and revises the scripts in the book, available functions, and m-files to MATLAB® V7. |
| digital signal processing by proakis and manolakis: Real-time Digital Signal Processing Sen-Maw Kuo, 2003 |
| digital signal processing by proakis and manolakis: An Introduction to Digital Signal Processing Stanley Mneney, 2009-01-10 Mneney's text focuses on basic concepts of digital signal processing, MATLAB simulation, and implementation on selected DSP hardware. |
| digital signal processing by proakis and manolakis: Numerical Computation 1 Christoph W. Ueberhuber, 2012-12-06 This book deals with various aspects of scientific numerical computing. No at tempt was made to be complete or encyclopedic. The successful solution of a numerical problem has many facets and consequently involves different fields of computer science. Computer numerics- as opposed to computer algebra- is thus based on applied mathematics, numerical analysis and numerical computation as well as on certain areas of computer science such as computer architecture and operating systems. Applied Mathemalies I I I Numerical Analysis Analysis, Algebra I I Numerical Computation Symbolic Computation I Operating Systems Computer Hardware Each chapter begins with sample situations taken from specific fields of appli cation. Abstract and general formulations of mathematical problems are then presented. Following this abstract level, a general discussion about principles and methods for the numerical solution of mathematical problems is presented. Relevant algorithms are developed and their efficiency and the accuracy of their results is assessed. It is then explained as to how they can be obtained in the form of numerical software. The reader is presented with various ways of applying the general methods and principles to particular classes of problems and approaches to extracting practically useful solutions with appropriately chosen numerical software are developed. Potential difficulties and obstacles are examined, and ways of avoiding them are discussed. The volume and diversity of all the available numerical software is tremendous. |
| digital signal processing by proakis and manolakis: Digital Signal Processing Primer Kenneth Steiglitz, 2020-11-18 Informal, easy-to-understand introduction covers phasors and tuning forks, wave equation, sampling and quantizing, feedforward and feedback filters, comb and string filters, periodic sounds, transform methods, and filter design. 1996 edition. |
| digital signal processing by proakis and manolakis: Digital Communications John G. Proakis, Masoud Salehi, 2008-01 Digital Communications is a classic book in the area that is designed to be used as a senior or graduate level text. The text is flexible and can easily be used in a one semester course or there is enough depth to cover two semesters. Its comprehensive nature makes it a great book for students to keep for reference in their professional careers. This all-inclusive guide delivers an outstanding introduction to the analysis and design of digital communication systems. Includes expert coverage of new topics: Turbocodes, Turboequalization, Antenna Arrays, Digital Cellular Systems, and Iterative Detection. Convenient, sequential organization begins with a look at the history and classification of channel models and builds from there. |
| digital signal processing by proakis and manolakis: Advanced Digital Signal Processing PROAKIS, Nikias, 2002-02 This textbook and reference for graduate level courses in digital signal processing can be used in a variety of courses. It includes details about deterministic signal processing, algorithms for convolution and DFT, multirate DSP, digital filter banks, wavelets and multiresolution analysis. |
| digital signal processing by proakis and manolakis: Digital Communications John G. Proakis, 1995-01-01 This text provides an introduction to the analysis and design of digital communication systems. The third edition has been updated with a discussion of modern technological advances, providing coverage of such topics as digital modulation and demodulation techniques, source coding, channel coding and decoding, spread spectrum signals, channel equilization, multiuser communications, and modulation and coding for fading multipath channels. In addition, the book has been reorganized so that each chapter builds on previous material, begins with an introduction to the history and classification of channel models and reviews important topics in probability and stochastic processes. |
| digital signal processing by proakis and manolakis: Signal Processing for Communications Paolo Prandoni, Martin Vetterli, 2008-06-17 With a novel, less classical approach to the subject, the authors have written a book with the conviction that signal processing should be taught to be fun. The treatment is therefore less focused on the mathematics and more on the conceptual aspects, the idea being to allow the readers to think about the subject at a higher conceptual level, thus building the foundations for more advanced topics. The book remains an engineering text, with the goal of helping students solve real-world problems. In this vein, the last chapter pulls together the individual topics as discussed throughout the book into an in-depth look at the development of an end-to-end communication system, namely, a modem for communicating digital information over an analog channel. |
| digital signal processing by proakis and manolakis: Digital Signal Processing Emmanuel C. Ifeachor, Barrie W. Jervis, 1999 |
| digital signal processing by proakis and manolakis: A Course in Digital Signal Processing Boaz Porat, 1997 Highly acclaimed teacher and researcher Porat presents a clear, approachable text for senior and first-year graduate level DSP courses. Principles are reinforced through the use of MATLAB programs and application-oriented problems. |
| digital signal processing by proakis and manolakis: Understanding Digital Signal Processing Richard G. Lyons, 2010-11-01 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 by proakis and manolakis: Digital Signal Processing First, Global Edition , 2015 |
| digital signal processing by proakis and manolakis: A DSP Primer Kenneth Steiglitz, 1996 This new book by Ken Steigliz offers an informal and easy-to-understand introduction to digital signal processing, emphasizing digital audio and applications to computer music. A DSP Primer covers important topics such as phasors and tuning forks; the wave equation; sampling and quantizing; feedforward and feedback filters; comb and string filters; periodic sounds; transform methods; and filter design. Steiglitz uses an intuitive and qualitative approach to develop the mathematics critical to understanding DSP. A DSP Primer is written for a broad audience including: Students of DSP in Engineering and Computer Science courses. Composers of computer music and those who work with digital sound. WWW and Internet developers who work with multimedia. General readers interested in science that want an introduction to DSP. Features: Offers a simple and uncluttered step-by-step approach to DSP for first-time users, especially beginners in computer music. Designed to provide a working knowledge and understanding of frequency domain methods, including FFT and digital filtering. Contains thought-provoking questions and suggested experiments that help the reader to understand and apply DSP theory and techniques. |
| digital signal processing by proakis and manolakis: Hyperspectral Imaging Remote Sensing Dimitris G. Manolakis, Ronald B. Lockwood, Thomas W. Cooley, 2016-10-20 Understand the seminal principles, current techniques, and tools of imaging spectroscopy with this self-contained introductory guide. |
| digital signal processing by proakis and manolakis: Statistical and Adaptive Signal Processing Dimitris G. Manolakis, Vinay K. Ingle, Stephen M. Kogon, 2005 This authoritative volume on statistical and adaptive signal processing offers you a unified, comprehensive and practical treatment of spectral estimation, signal modeling, adaptive filtering, and array processing. Packed with over 3,000 equations and more than 300 illustrations, this unique resource provides you with balanced coverage of implementation issues, applications, and theory, making it a smart choice for professional engineers and students alike. |
| digital signal processing by proakis and manolakis: Schaum's Outline of Digital Signal Processing Monson Hayes, 1999 Confusing Textbooks? Missed Lectures? Not Enough Time? Fortunately for you, there's Schaum's Outlines. More than 40 million students have trusted Schaum's to help them succeed in the classroom and on exams. Schaum's is the key to faster learning and higher grades in every subject. Each Outline presents all the essential course information in an easy-to-follow, topic-by-topic format. You also get hundreds of examples, solved problems, and practice exercises to test your skills. This Schaum's Outline gives you Practice problems with full explanations that reinforce knowledge Coverage of the most up-to-date developments in your course field In-depth review of practices and applications Fully compatible with your classroom text, Schaum's highlights all the important facts you need to know. Use Schaum's to shorten your study time-and get your best test scores! Schaum's Outlines-Problem Solved. |
| digital signal processing by proakis and manolakis: Digital Signal Processing Paulo S. R. Diniz, Eduardo A. B. da Silva, Sergio L. Netto, 2010-09-02 This new, fully-revised edition covers all the major topics of digital signal processing (DSP) design and analysis in a single, all-inclusive volume, interweaving theory with real-world examples and design trade-offs. Building on the success of the original, this edition includes new material on random signal processing, a new chapter on spectral estimation, greatly expanded coverage of filter banks and wavelets, and new material on the solution of difference equations. Additional steps in mathematical derivations make them easier to follow, and an important new feature is the do-it-yourself section at the end of each chapter, where readers get hands-on experience of solving practical signal processing problems in a range of MATLAB experiments. With 120 worked examples, 20 case studies, and almost 400 homework exercises, the book is essential reading for anyone taking DSP courses. Its unique blend of theory and real-world practical examples also makes it an ideal reference for practitioners. |
| digital signal processing by proakis and manolakis: Practical Digital Signal Processing Edmund Lai, 2003-10-21 The aim of this book is to introduce the general area of Digital Signal Processing from a practical point of view with a working minimum of mathematics. The emphasis is placed on the practical applications of DSP: implementation issues, tricks and pitfalls. Intuitive explanations and appropriate examples are used to develop a fundamental understanding of DSP theory, laying a firm foundation for the reader to pursue the matter further. The reader will develop a clear understanding of DSP technology in a variety of fields from process control to communications.* Covers the use of DSP in different engineering sectors, from communications to process control* Ideal for a wide audience wanting to take advantage of the strong movement towards digital signal processing techniques in the engineering world * Includes numerous practical exercises and diagrams covering many of the fundamental aspects of digital signal processing |
| digital signal processing by proakis and manolakis: Multirate Filtering for Digital Signal Processing: MATLAB Applications Milic, Ljiljana, 2009-01-31 This book covers basic and the advanced approaches in the design and implementation of multirate filtering--Provided by publisher. |
| digital signal processing by proakis and manolakis: Digital Signal Processing 101 Michael Parker, 2010-05-26 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 |
| digital signal processing by proakis and manolakis: Digital Signal Processing and Spectral Analysis for Scientists Silvia Maria Alessio, 2015-12-09 This 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 by proakis and manolakis: Digital Signal Processing: A Practical Guide for Engineers and Scientists Steven Smith, 2013-10-22 In addition to its thorough coverage of DSP design and programming techniques, Smith also covers the operation and usage of DSP chips. He uses Analog Devices' popular DSP chip family as design examples. - Covers all major DSP topics - Full of insider information and shortcuts - Basic techniques and algorithms explained without complex numbers |
| digital signal processing by proakis and manolakis: Schaum's Outline of Signals and Systems, Fourth Edition Hwei P. Hsu, 2019-10-22 Tough Test Questions? Missed Lectures? Not Enough Time? Fortunately, there’s Schaum’s. More than 40 million students have trusted Schaum’s to help them succeed in the classroom and on exams. Schaum’s is the key to faster learning and higher grades in every subject. Each Outline presents all the essential course information in an easy-to-follow, topic-by-topic format. You also get hundreds of examples, solved problems, and practice exercises to test your skills. Schaum’s Outline of Signals and Systems, Fourth Edition is packed hundreds of examples, solved problems, and practice exercises to test your skills. This updated guide approaches the subject in a more concise, ordered manner than most standard texts, which are often filled with extraneous material. Schaum’s Outline of Signals and Systems, Fourth Edition features: • 571 fully-solved problems • 20 problem-solving videos • Additional material on matrix theory and complex numbers • Clear, concise explanations of all signals and systems concepts • Content supplements the major leading textbook for signals and systems courses • Content that is appropriate for Basic Circuit Analysis, Electrical Circuits, Electrical Engineering and Circuit Analysis, Introduction to Circuit Analysis, AC and DC Circuits courses PLUS: Access to the revised Schaums.com website and new app, containing 20 problem-solving videos, and more. Schaum’s reinforces the main concepts required in your course and offers hundreds of practice exercises to help you succeed. Use Schaum’s to shorten your study time—and get your best test scores! Schaum’s Outlines—Problem solved. |
| digital signal processing by proakis and manolakis: Computer Vision for Visual Effects Richard J. Radke, 2013 This book explores the fundamental computer vision principles and state-of-the-art algorithms used to create cutting-edge visual effects for movies and television. It describes classical computer vision algorithms and recent developments, features more than 200 original images, and contains in-depth interviews with Hollywood visual effects artists that tie the mathematical concepts to real-world filmmaking. |
| digital signal processing by proakis and manolakis: Digital Signal Processing System-Level Design Using LabVIEW Nasser Kehtarnavaz, Namjin Kim, 2011-04-01 LabVIEW (Laboratory Virtual Instrumentation Engineering Workbench) developed by National Instruments is a graphical programming environment. Its ease of use allows engineers and students to streamline the creation of code visually, leaving time traditionally spent on debugging for true comprehension of DSP. This book is perfect for practicing engineers, as well as hardware and software technical managers who are familiar with DSP and are involved in system-level design. With this text, authors Kehtarnavaz and Kim have also provided a valuable resource for students in conventional engineering courses. The integrated lab exercises create an interactive experience which supports development of the hands-on skills essential for learning to navigate the LabVIEW program. Digital Signal Processing System-Level Design Using LabVIEW is a comprehensive tool that will greatly accelerate the DSP learning process. Its thorough examination of LabVIEW leaves no question unanswered. LabVIEW is the program that will demystify DSP and this is the book that will show you how to master it.* A graphical programming approach (LabVIEW) to DSP system-level design* DSP implementation of appropriate components of a LabVIEW designed system* Providing system-level, hands-on experiments for DSP lab or project courses |
| digital signal processing by proakis and manolakis: Introduction to Digital Signal Processing and Filter Design B. A. Shenoi, 2005-11-07 A practical and accessible guide to understanding digital signal processing Introduction to Digital Signal Processing and Filter Design was developed and fine-tuned from the author's twenty-five years of experience teaching classes in digital signal processing. Following a step-by-step approach, students and professionals quickly master the fundamental concepts and applications of discrete-time signals and systems as well as the synthesis of these systems to meet specifications in the time and frequency domains. Striking the right balance between mathematical derivations and theory, the book features: * Discrete-time signals and systems * Linear difference equations * Solutions by recursive algorithms * Convolution * Time and frequency domain analysis * Discrete Fourier series * Design of FIR and IIR filters * Practical methods for hardware implementation A unique feature of this book is a complete chapter on the use of a MATLAB(r) tool, known as the FDA (Filter Design and Analysis) tool, to investigate the effect of finite word length and different formats of quantization, different realization structures, and different methods for filter design. This chapter contains material of practical importance that is not found in many books used in academic courses. It introduces students in digital signal processing to what they need to know to design digital systems using DSP chips currently available from industry. With its unique, classroom-tested approach, Introduction to Digital Signal Processing and Filter Design is the ideal text for students in electrical and electronic engineering, computer science, and applied mathematics, and an accessible introduction or refresher for engineers and scientists in the field. |
| digital signal processing by proakis and manolakis: Digital Signal Processing Sanjit Kumar Mitra, 2006-01 Digital Signal Processing: A Computer-Based Approach is intended for a two-semester course on digital signal processing for seniors or first-year graduate students. Based on user feedback, a number of new topics have been added to the third edition, while some excess topics from the second edition have been removed. The author has taken great care to organize the chapters more logically by reordering the sections within chapters. More worked-out examples have also been included. The book contains more than 500 problems and 150 MATLAB exercises. New topics in the third edition include: short-time characterization of discrete-time signals, expanded coverage of discrete-time Fourier transform and discrete Fourier transform, prime factor algorithm for DFT computation, sliding DFT, zoom FFT, chirp Fourier transform, expanded coverage of z-transform, group delay equalization of IIR digital filters, design of computationally efficient FIR digital filters, semi-symbolic analysis of digital filter structures, spline interpolation, spectral factorization, discrete wavelet transform. |
| digital signal processing by proakis and manolakis: Digital Signal Processing D. Sundararajan, 2003 The key features include emphasis on the use of the discrete Fourier transform and comprehensive coverage of the design of commonly used digital filters. |
DIGITAL Definition & Meaning - Merriam-Webster
The meaning of DIGITAL is of, relating to, or utilizing devices constructed or working by the methods or principles of electronics : electronic; also : characterized by electronic and …
DIGITAL | English meaning - Cambridge Dictionary
DIGITAL definition: 1. recording or storing information as a series of the numbers 1 and 0, to show that a signal is…. Learn more.
DIGITAL Definition & Meaning | Dictionary.com
Representing or operating on data or information in numerical form. A digital clock uses a series of changing digits to represent time at discrete intervals, for example, every second. Modern …
Digital - Wikipedia
Look up digital in Wiktionary, the free dictionary. Digital usually refers to something using discrete digits, often binary digits.
Digital - definition of digital by The Free Dictionary
Relating to or being a profession or activity that is performed using digital devices: a digital librarian; digital photography.
DIGITAL Definition & Meaning - Merriam-Webster
The meaning of DIGITAL is of, relating to, or utilizing devices constructed or working by the methods or principles of electronics : electronic; also : characterized by electronic and …
DIGITAL | English meaning - Cambridge Dictionary
DIGITAL definition: 1. recording or storing information as a series of the numbers 1 and 0, to show that a signal is…. Learn more.
DIGITAL Definition & Meaning | Dictionary.com
Representing or operating on data or information in numerical form. A digital clock uses a series of changing digits to represent time at discrete intervals, for example, every second. Modern …
Digital - Wikipedia
Look up digital in Wiktionary, the free dictionary. Digital usually refers to something using discrete digits, often binary digits.
Digital - definition of digital by The Free Dictionary
Relating to or being a profession or activity that is performed using digital devices: a digital librarian; digital photography.
