C Algorithms for Real-Time Dsp - Softcover

Embree, Paul M.

Softcover

ISBN 10: 0133373533 ISBN 13: 9780133373530

Publisher: Prentice Hall, 1995

Synopsis

For electrical engineers and computer scientists.

Digital signal processing techniques have become the method of choice in signal processing as digital computers have increased in speed, convenience, and availability. At the same time, the C language is proving itself to be a valuable programming tool for real-time computationally intensive software tasks. This book is a complete guide to digital real-time signal processing techniques in the C language.

About this title

Excerpt. © Reprinted by permission. All rights reserved.

Digital signal processing techniques have become the method of choice in signal processing as digital computers have increased in speed, convenience, and availability. As microprocessors have become less expensive and more powerful, the number of DSP applications which have become commonly available has exploded. Thus, some DSP microprocessors can now be considered commodity products. Perhaps the most visible high volume DSP applications are the so called multimedia applications in digital audio, speech processing, digital video, and digital communications. In many cases, these applications contain embedded digital signal processors where a host CPU works in a loosely coupled way with one or more DSPs to control the signal flow or DSP algorithm behavior at a real-time rate.

Unfortunately, the development ofsignal processing algorithms for these specialized embedded DSPs is still difficult and often requires specialized training in a particular assembly language for the target DSP. The tools for developing new DSP algorithms are slowly improving as the need to design new DSP applications more quickly becomes important.

The C language is proving itself to be a valuable programming tool for real- time computationally intensive sof tware tasks. C has high-level language capabilities (such as structures, arrays, and functions) as well as low-level assembly language capabilities (such as bit manipulation, direct hardware input/output, and macros) which makes C an ideal language f or embedded DSP. Most of the manufacturers of digital signal processing devices (such as Texas Instruments, AT&T, Motorola, and Analog Devices) provide C compilers, simulators, and emulators for their parts. These C compilers offer standard C language with extensions for DSP to allow for very efficient code to be generated. For example, an inline assembly language capability is usually provided in order to optimize the performance of time critical parts of an application. Because the majority of the code is C, an application can be transferred to another processor much more easily than an all assembly language program.

This book is constructed in such a way that it will be most useful to the engineer who is familiar with DSP and the C language, but who is not necessarily an expert in both. All of the example programs in this book have been tested using standard C c ompilers in the UNIX and MS- DOS programming environments. In addition, the examples have been compiled utilizing the real-time programing tools of specific real- time embedded DSP microprocessors (Analog Devices ADSP-21020 and ADSP- 21062; Texas Instr ument's TMS320C30 and TMS320C40; and AT&T's DSP32C) and then tested with real-time hardware using real world signals.

The text is divided into several sections.

Chapters 1 and 2 cover the basic principles of digital signal processing and C programming. Readers familiar with these topics may wish to skip one or both chapters.

Chapter 3 introduces the basic real-time DSP programming techniques and typical programming environments which are used with DSP microprocessors.

Chapter 4 covers the basic real-time filtering techniques which are the cornerstone of one-dimensional real-time digital signal processing. Finally, several real-time DSP applications are presented in Chapter 5, including speech compression, music signal processing, radar signal processing, and adaptive signal processing techniques.

Acknowledgments

I thank the following people for their generous help: Laura Mercs for help in preparing the electronic manuscript and the software for the DSP32C; the engineers at Analog Devices (in particular Steve Cox, Marc Hoffman, and Hans Rempel) for their revi ew of the manuscript as well as hardware and software support; Texas Instruments for hardware and software support; Jim Bridges at Communication Automation & Control, Inc., and Talal Itani at Domain Technologies, Inc.

Paul M. Embree

Trademarks

IBM and IBM PC are trademarks of the International Business Machines Corporation.

MS-DOS and Mircosoft C are trademarks of the Microsoft Corporation.

TURBOC is a trademark of Borland International.

UNIX is a trademark of American Telephone and Telegraph Corporation.

DSP32C and DSP3210 are trademarks of American Telephone and Telegraph Corporation.

TMS320C30, TMS320C31, and TMS320C40 are trademarks of Texas Instruments Incorporated.

ADSP-21020, ADSP-21060, and ADSP-21062 are trademarks of Analog Devices Incorporated.

Edition details

• Publisher: Prentice Hall
• Publication date: 1995
• ISBN 10: 0133373533
• ISBN 13: 9780133373530
• Binding: Paperback
• Language: English
• Edition number: 1
• Number of pages: 256