VLSI Digital Signal Processing Systems: Design and Implementation
Digital audio, speech recognition, cable modems, radar, high-definition television-these are but a few of the modern computer and communications applications relying on digital signal processing (DSP) and the attendant application-specific integrated circuits (ASICs). As information-age industries constantly reinvent ASIC chips for lower power consumption and higher efficiency, there is a growing need for designers who are current and fluent in VLSI design methodologies for DSP.
Enter VLSI Digital Signal Processing Systems-a unique, comprehensive guide to performance optimization techniques in VLSI signal processing. Based on Keshab Parhi's highly respected and popular graduate-level courses, this volume is destined to become the standard text and reference in the field. This text integrates VLSI architecture theory and algorithms, addresses various architectures at the implementation level, and presents several approaches to analysis, estimation, and reduction of power consumption.
Throughout this book, Dr. Parhi explains how to design high-speed, low-area, and low-power VLSI systems for a broad range of DSP applications. He covers pipelining extensively as well as numerous other techniques, from parallel processing to scaling and roundoff noise computation. Readers are shown how to apply all techniques to improve implementations of several DSP algorithms, using both ASICs and off-the-shelf programmable digital signal processors.
The book features hundreds of graphs illustrating the various DSP algorithms, examples based on digital filters and transforms clarifying key concepts, and interesting end-of-chapter exercises that help match techniques with applications. In addition, the abundance of readily available techniques makes this an extremely useful resource for designers of DSP systems in wired, wireless, or multimedia communications. The material can be easily adopted in new courses on either VLSI digital signal processing architectures or high-performance VLSI system design.
An invaluable reference and practical guide to VLSI digital signal processing.
A tremendous source of optimization techniques indispensable in modern VLSI signal processing, VLSI Digital Signal Processing Systems promises to become the standard in the field. It offers a rich training ground for students of VLSI design for digital signal processing and provides immediate access to state-of-the-art, proven techniques for designers of DSP applications-in wired, wireless, or multimedia communications.
Topics include:
* Transformations for high speed using pipelining, retiming, and parallel processing techniques
* Power reduction transformations for supply voltage reduction as well as for strength or capacitance reduction
* Area reduction using folding techniques
* Strategies for arithmetic implementation
* Synchronous, wave, and asynchronous pipelining
* Design of programmable DSPs.
An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.
Why Read This Book
Read this book if you need to move from DSP algorithms to practical hardware implementation. It is especially valuable for understanding the classic optimization techniques—pipelining, retiming, parallel processing, folding, and arithmetic design—that underpin efficient VLSI DSP systems.
Who Will Benefit
Best suited for graduate students, ASIC/VLSI designers, and DSP engineers working on hardware implementation of filters, transforms, audio, communications, or radar systems. It also helps researchers and instructors looking for a foundational text on VLSI DSP architecture.
Level: Advanced — Prerequisites: Readers should already be comfortable with digital signal processing concepts such as filtering, transforms, sampling, and fixed-point arithmetic. Prior exposure to digital design, computer architecture, and basic VLSI/ASIC concepts will make the material much easier to apply.
Key Takeaways
- How to map DSP algorithms efficiently onto VLSI hardware
- Techniques for increasing throughput with pipelining, retiming, and parallel processing
- Methods for reducing power consumption in DSP implementations
- Area optimization strategies such as folding and resource sharing
- How arithmetic choices affect speed, area, and numerical accuracy
- Design considerations for programmable DSP processors and ASIC-based implementations
Topics Covered
- Introduction to VLSI Digital Signal Processing
- DSP Algorithm Representation and Data Flow Graphs
- Pipelining for High-Speed DSP Systems
- Retiming and Throughput Optimization
- Parallel Processing Architectures
- Folding and Area Reduction Techniques
- Low-Power Design in DSP VLSI
- Arithmetic Units and Fixed-Point Implementation
- Synchronous, Wave, and Asynchronous Pipelining
- Design of Programmable DSP Processors
- Case Studies in Filters and Transform Implementations
- Analysis of Quantization and Roundoff Noise
Languages, Platforms & Tools
How It Compares
Compared with more general DSP texts, this book is far more focused on hardware realization and VLSI optimization rather than signal-processing theory. Compared with broader VLSI design books, it is much more specialized on DSP-centric architectures and implementation tradeoffs, making it a stronger reference for engineers designing DSP chips than for readers seeking algorithm fundamentals.
