Analog-to-digital (A/D) and digital-to-analog (D/A) converters, or data converters in short, play a critical role as interfaces between the real analog world and digital equipment. They are now indispensable in the field of sensor networks, internet of things (IoT), robots, and automatic driving vehicles, as well as high-precision instrumentation and wideband communication systems. As the world increasingly relies on digital information processing, the importance of data converters continues to increase.The primary purpose of this book is to explain the fundamentals of data converters for students and engineers involved in this fascinating field as a newcomer. The book will also help students who have learned the basics of analog circuit design to understand the state-of-the-art data converters. It is desirable for readers to be familiar with basic analog IC design and digital signal processing using z-transform.

This textbook is appropriate for use in graduate-level curricula in analog-to-digital conversion, as well as for practicing engineers in need of a state-of-the-art reference on data converters. It discusses various analog-to-digital conversion principles, including sampling, quantization, reference generation, nyquist architectures and sigma-delta modulation. This book presents an overview of the state of the art in this field and focuses on issues of optimizing accuracy and speed, while reducing the power level. This new, third edition emphasizes novel calibration concepts, the specific requirements of new systems, the consequences of 22-nm technology and the need for a more statistical approach to accuracy. Pedagogical enhancements to this edition include additional, new exercises, solved examples to introduce all key, new concepts and warnings, remarks and hints, from a practitioner's perspective, wherever appropriate. Considerable background information and practical tips, from designing a PCB, to lay-out aspects, to trade-offs on system level, complement the discussion of basic principles, making this book a valuable reference for the experienced engineer.

Time-interleaved Analog-to-Digital Converters describes the research performed on low-power time-interleaved ADCs. A detailed theoretical analysis is made of the time-interleaved Track & Hold, since it must be capable of handling signals in the GHz range with little distortion, and minimal power consumption. Timing calibration is not attractive, therefore design techniques are presented which do not require timing calibration. The design of power efficient sub-ADCs is addressed with a theoretical analysis of a successive approximation converter and a pipeline converter. It turns out that the first can consume about 10 times less power than the latter, and this conclusion is supported by literature. Time-interleaved Analog-to-Digital Converters describes the design of a high performance time-interleaved ADC, with much attention for practical design aspects, aiming at both industry and research. Measurements show best-inclass performance with a sample-rate of 1.8 GS/s, 7.9 ENOBs and a power efficiency of 1 pJ/conversion-step.

This comprehensive new handbook is a one-stop engineering reference covering data converter fundamentals, techniques, and applications. Beginning with the basic theoretical elements necessary for a complete understanding of data converters, the book covers all the latest advances made in this changing field. Details are provided on the design of high-speec ADCs, high accuracy DACs and ADCs, sample-and-hold amplifiers, voltage sources and current reference,noise-shaping coding, sigma-delta converters, and much more.

Provides a comprehensive look at the application of photonic approaches to the problem of analog-to-digital conversion. It looks into the progress made to date, discusses present research, and presents a glimpse of potential future technologies.

Why another book on sampling theory and analog-to-digital conversion? This book takes a linear system theory approach to analog-to-digital conversion. From linear systems theory, we introduce sampling theory and use the tools from linear system theory to prove Shannon's sampling theorem. Shannon's sampling theorem shows how an analog signal can be converted to a discrete time signal and how the original can be exactly recovered from the discrete time signal. Digital is an approximation to discrete time so exact reconstruction is not possible; however, practically speaking the reconstructed signal is identical to the original analog signal. Digital is more than just 1's and 0's. Digital technology is universal. Once data is in digital form, it can be converted from one digital format to another without any additional loss of information (excluding lossy data compression). We use linear system theory and the sampling theorem to derive the model for an ideal analog to digital converter. We derive performance metrics from the ideal model. The performance metrics are put to good use to illustrate how to test and evaluate an analog-to-digital converter. Applications motivate the reader to apply concepts learned. More complex applications lead the reader to an introduction to software defined radios. Appendices provide summaries of the sampling theorem, communications engineering units, transform tables, and ADC model. Chapter 1 begins by introducing the digital world. Money is used to introduce analog, discrete, and digital. Chapter 2 starts off with a simple description of linear systems. Chapter 2 takes the reader from algebra, calculus, differential equations, Fourier transforms, and back to algebra. We want the reader to have a basic understanding of signal processing. Linear system theory provides the tools to prove the sampling theorem in Chapter 3. A graphical proof and analytical proof of the sampling theorem are presented in Chapter 4. We show why wagon wheels turn backwards in Western movies. Chapter 5 covers the binary math, we need to work with analog-to-digital converters. Code examples are provided for the "software interface" for an analog-to-digital converter. A useful part of Chapter 5 is how to solve the problem of a signed 10 bit analog-to-digital converter connected to a 16 bit microprocessor. The ideal analog-to-digital converter model is developed in Chapter 6. Chapter 7 introduces some common analog-to-digital converters: flash, pipeline, successive approximation register, and delta sigma (ΔΣ). Performance metrics and testing of analog-to-digital converters are found in Chapter 8. Chapter 9 presents sampling and analog-to-digital conversion applications. Chapter 10 covers a brief introduction to analog-to-digital converter datasheets focused on software defined radio applications. Chapter 11 presents an introduction to radio receiver block diagrams and finishes with a short introduction to software defined radios. Chapter 11 completes the journey from linear systems, to sampling theory, to analog-to-digital converters, and then the most useful part, applications. We hope this book serves as a good stepping stone to more complex applications. As computer power continues to increase and costs continue to drop, new applications will be found for the future. Be part of developing the future. If you have any suggestions for improvements, or find errors please email the book author (see book preface).

Underlying principles. Analog-to-digital conversion techniques. Digital-to-analog converters. Devices and building blocks for analog-to-digital converters. Testing converters.