Digital Signal Processors: Architectures, Implementations, and Applications

Real-time digital signal processing (DSP) using general-purpose digital signal processors is a very hot subject and challenging work in today's engineering fields. Real-time DSP provides an effective way for designing and implementing a variety of DSP algorithms for real-world applications. In fact, many universities and industrial companies are currently engaged in real-time DSP research, education, and development. With DSP penetrating into various applications, the demand for high-performance digital signal processors has expanded rapidly in recent years. It has become increasingly important for today's students and practicing engineers to master not only the theory of DSP, but also the techniques involved in real-time DSP system design and implementation. Digital Signal Processors: Architectures, Implementations, and Applicationsoffers readers a hands-on approach to understanding the architecture and programming of DSP processors, the design of real-time DSP systems and real-world applications, and the implementation of DSP algorithms using both fixed-point and floating-point processors, including the TMS320C2000, TMS320C54x, TMS320C55x, TMS320C62x, TMS320C64x, TMS320C3x, and TMS320C67x. This book is intended as a text for senior/graduate-level college students. With its emphasis on DSP implementation, experiments, and applications, this book can also serve as a desktop reference for practicing engineers who want to learn DSP concepts and develop real-time DSP applications at work. The minimum prerequisite requirements are a basic understanding of the concepts of signals and systems, the C language, and assembly programming. This book gives an overview of real-time DSP technologies. To illustrate the hands-on aspects of real-time DSP applications effectively, MATLAB and Simulink are introduced for use in the design, analysis, and implementation of DSP algorithms. In addition, Code Composer Studio (CCS) for the TMS320C54x and TMS320C55x is used for lab experiments, projects, and applications. These useful tools effectively illustrate the concepts of real-time DSP and bridge the gap between theoretical signal processing and real-time implementation. By completing the hands-on exercises and problems, readers can gain practical knowledge of real-time implementation issues. In using the advanced DSP architecture for fast software development and maintenance, the mixing of C and assembly programs is emphasized. This book uses a two-level approach in the hands-on exercises. First, we introduce the software tools and guide readers step by step in designing, simulating, verifying, and finally developing programs in both floating- and fixed-point formats. Then, we provide additional exercises and problems in order to reinforce readers' understanding of these topics. The MATLAB, Simulink, C, and assembly programs that implement many DSP examples and applications are listed throughout the book and are available on the companion CD and at www.prenhall.com/kuo and www.ntu.edu.sg/home/ewsgan/book.htm . Several real-world data files for some practical applications introduced in the book can also be found at this website. The use of the Web allows the authors to continuously update the program and data files referenced in the book as the software and/or its interface is updated. This book is organized into three main sections: application, architecture and implementation. (1) The application section (Chapters 1-3) introduces DSP algorithms and applications, processor architectures, peripheral components, and real-time implementation issues. (2) The architecture section (Chapters 4 and 5) gives detailed descriptions of fixed-point and floating-point processors with a focus on software development. (3) The implementation section (Chapters 6-9) uses a top-down approach in the design, simulation, verifiSen M. Kuo is the author of 'Digital Signal Processors: Architectures, Implementations, and Applications', published 2004 under ISBN 9780130352149 and ISBN 0130352144.