Sampled Data Systems - ADCs for DSP Applications - DACs for DSP Applications - Fast Fourier Transforms - Digital Filters - DSP Hardware - Interfacing to DSPs - DSP Applications - Hardware Design Techniques.

The reader is provided with information on how to choose between the techniques and how to design a system that takes advantage of the best features of each of them. Imminently practical in approach, the book covers sampled data systems, choosing A-to-D and D-to-A converters for DSP applications, fast Fourier transforms, digital filters, selecting DSP hardware, interfacing to DSP chips, and hardware design techniques. It contains a number of application designs with thorough explanations. Heavily illustrated, the book contains all the design reference information that engineers need when developing mixed and digital signal processing systems.*Brought to you from the experts at Analog Devices, Inc.*A must for any electrical, electronics or mechanical engineer's reference shelf*Design-oriented, practical volume

This book, the Mixed-signal Methodology Guide: Advanced Methodology for AMS IP and SoC Design, Verification, and Implementation provides a broad overview of the design, verification and implementation methodologies required for today's mixed-signal designs. The book covers mixed-signal design trends and challenges, abstraction of analog using behavioral models, assertion-based metric-driven verification methodology applied on analog and mixed-signal and verification of low power intent in mixed-signal design. It also describes methodology for physical implementation in context of concurrent mixed-signal design and for handling advanced node physical effects. The book contains many practical examples of models and techniques. The authors believe it should serve as a reference to many analog, digital and mixed-signal designers, verification, physical implementation engineers and managers in their pursuit of information for a better methodology required to address the challenges of modern mixed-signal design.

Digital Design of Signal Processing Systems discusses a spectrum of architectures and methods for effective implementation of algorithms in hardware (HW). Encompassing all facets of the subject this book includes conversion of algorithms from floating-point to fixed-point format, parallel architectures for basic computational blocks, Verilog Hardware Description Language (HDL), SystemVerilog and coding guidelines for synthesis. The book also covers system level design of Multi Processor System on Chip (MPSoC); a consideration of different design methodologies including Network on Chip (NoC) and Kahn Process Network (KPN) based connectivity among processing elements. A special emphasis is placed on implementing streaming applications like a digital communication system in HW. Several novel architectures for implementing commonly used algorithms in signal processing are also revealed. With a comprehensive coverage of topics the book provides an appropriate mix of examples to illustrate the design methodology. Key Features: A practical guide to designing efficient digital systems, covering the complete spectrum of digital design from a digital signal processing perspective Provides a full account of HW building blocks and their architectures, while also elaborating effective use of embedded computational resources such as multipliers, adders and memories in FPGAs Covers a system level architecture using NoC and KPN for streaming applications, giving examples of structuring MATLAB code and its easy mapping in HW for these applications Explains state machine based and Micro-Program architectures with comprehensive case studies for mapping complex applications The techniques and examples discussed in this book are used in the award winning products from the Center for Advanced Research in Engineering (CARE). Software Defined Radio, 10 Gigabit VoIP monitoring system and Digital Surveillance equipment has respectively won APICTA (Asia Pacific Information and Communication Alliance) awards in 2010 for their unique and effective designs.

Test and Design-for-Testability in Mixed-Signal Integrated Circuits deals with test and design for test of analog and mixed-signal integrated circuits. Especially in System-on-Chip (SoC), where different technologies are intertwined (analog, digital, sensors, RF); test is becoming a true bottleneck of present and future IC projects. Linking design and test in these heterogeneous systems will have a tremendous impact in terms of test time, cost and proficiency. Although it is recognized as a key issue for developing complex ICs, there is still a lack of structured references presenting the major topics in this area. The aim of this book is to present basic concepts and new ideas in a manner understandable for both professionals and students. Since this is an active research field, a comprehensive state-of-the-art overview is very valuable, introducing the main problems as well as the ways of solution that seem promising, emphasizing their basis, strengths and weaknesses. In essence, several topics are presented in detail. First of all, techniques for the efficient use of DSP-based test and CAD test tools. Standardization is another topic considered in the book, with focus on the IEEE 1149.4. Also addressed in depth is the connecting design and test by means of using high-level (behavioural) description techniques, specific examples are given. Another issue is related to test techniques for well-defined classes of integrated blocks, like data converters and phase-locked-loops. Besides these specification-driven testing techniques, fault-driven approaches are described as they offer potential solutions which are more similar to digital test methods. Finally, in Design-for-Testability and Built-In-Self-Test, two other concepts that were taken from digital design, are introduced in an analog context and illustrated for the case of integrated filters. In summary, the purpose of this book is to provide a glimpse on recent research results in the area of testing mixed-signal integrated circuits, specifically in the topics mentioned above. Much of the work reported herein has been performed within cooperative European Research Projects, in which the authors of the different chapters have actively collaborated. It is a representative snapshot of the current state-of-the-art in this emergent field.

Today's embedded and real-time systems contain a mix of processor types: off-the-shelf microcontrollers, digital signal processors (DSPs), and custom processors. The decreasing cost of DSPs has made these sophisticated chips very attractive for a number of embedded and real-time applications, including automotive, telecommunications, medical imaging, and many others—including even some games and home appliances. However, developing embedded and real-time DSP applications is a complex task influenced by many parameters and issues. DSP Software Development Techniques for Embedded and Real-Time Systems is an introduction to DSP software development for embedded and real-time developers giving details on how to use digital signal processors efficiently in embedded and real-time systems. The book covers software and firmware design principles, from processor architectures and basic theory to the selection of appropriate languages and basic algorithms. The reader will find practical guidelines, diagrammed techniques, tool descriptions, and code templates for developing and optimizing DSP software and firmware. The book also covers integrating and testing DSP systems as well as managing the DSP development effort. - Digital signal processors (DSPs) are the future of microchips! - Includes practical guidelines, diagrammed techniques, tool descriptions, and code templates to aid in the development and optimization of DSP software and firmware

Answers the commonly asked questions about how digital signal processing-based machines work and what role DSP plays in the process. It shows you how DSP performs in real-test situations and uses mathematical concepts rather than derivations. The text addresses difficult test problems and their solutions resulting from the union of automatic test equipment (ATE) and DSP. The author establishes a philosophy of DSP-based testing describing how to think, how to approach a problem, how to create a solution, and how to determine if it really works properly.