C6713与C6416 DSK的数字信号处理及应用

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"《Digital Signal Processing And Applications With The c6713 And c6416 DSK》是由Rulph Chassaing编著的一本关于数字信号处理的专业书籍，主要探讨了使用C6713和C6416开发套件（DSK）在实际应用中的技术与方法。该书属于JOHN WILEY & SONS出版的TOPICS IN DIGITAL SIGNAL PROCESSING系列，涵盖了数字信号处理的基础理论和实践操作。" 本书是数字信号处理领域的重要参考资料，作者Rulph Chassaing来自伍斯特理工学院，具有丰富的教学和实践经验。书中详细讲解了C6713和C6416 DSP芯片的特性、设计原理以及如何利用它们进行数字信号处理。C6713和C6416是Texas Instruments（德州仪器）生产的高性能数字信号处理器，广泛应用于通信、音频处理、图像处理和控制系统等领域。书中可能包括以下核心知识点： 1. **数字信号处理基础**：介绍离散时间信号的基本概念，如傅立叶变换、快速傅立叶变换(FFT)和卷积算法，这些是数字信号处理的基础工具。 2. **C6713和C6416 DSP芯片详解**：详细阐述这两款芯片的架构、指令集、存储器组织、I/O接口和编程模型，帮助读者理解和利用其强大功能。 3. **算法实现**：讨论如何在C6713和C6416上实现各种数字信号处理算法，如滤波器设计、自适应滤波、谱分析等，可能包括优化技巧和性能评估。 4. **实验与应用**：提供实际的实验室实验指导，包括硬件设置、代码编写和结果分析，使读者能将理论知识转化为实际应用。 5. **系统设计与调试**：介绍如何构建基于C6713和C6416的数字信号处理系统，包括系统集成、调试策略和性能优化。 6. **案例研究**：可能包含针对不同领域的应用案例，如无线通信、音频编码、视频处理等，展示DSP技术的实际应用场景。通过本书的学习，读者不仅能够深入理解数字信号处理的理论，还能掌握C6713和C6416 DSP芯片在实际项目中的具体应用，提升解决复杂信号处理问题的能力。这本书适合电子工程、通信工程以及相关专业的学生和工程师阅读，对于那些希望在数字信号处理领域深化知识或提升实践技能的人来说是一份宝贵的资源。

range of applications in ﬁltering, spectrum analysis, modulation techniques, speech

processing, and so on.

Programming examples are included throughout the text. This can be useful to

the reader who is familiar with both DSP and C programming but who is not nec-

essarily an expert in both. Many assignments are included at the end of Chapters

1–6.

This book can be used in the following ways:

1. For a DSP course with a laboratory component, using parts of Chapters 1–9.

If needed, the book can be supplemented with some additional theoretical

materials, since its emphasis is on the practical aspects of DSP. It is possible

to cover Chapter 7 on adaptive ﬁltering following Chapter 4 on ﬁnite impulse

response (FIR) ﬁltering (since there is only one example in Chapter 7 that

uses materials from Chapter 5). It is my conviction that adaptive ﬁltering

should be incorporated into an undergraduate course in DSP.

2. For a laboratory course using many of the examples and experiments from

Chapters 1–7 and Chapter 9. The beginning of the semester can be devoted

to short programming examples and experiments and the remainder of the

semester for a ﬁnal project. The wide range of sample projects (for both

undergraduate and graduate students) discussed in Chapter 10 can be very

valuable.

3. For a senior undergraduate or ﬁrst-year graduate design project course using

selected materials from Chapters 1–10.

4. For the practicing engineer as a tutorial and reference, and for workshops and

seminars, using selected materials throughout the book.

In Chapter 1 we introduce the tools through three programming examples.These

tools include the powerful Code Composer Studio (CCS) provided with the

TMS320C6713 DSP starter kit (DSK). It is essential to perform these examples

before proceeding to subsequent chapters.They illustrate the capabilities of CCS for

debugging, plotting in both the time and frequency domains, and other matters.

Appendix H contains several programming examples using the TMS320C6416 DSK.

In Chapter 2 we illustrate input and output (I/O) with the AIC23 stereo codec

on the DSK board through many programming examples. Chapter 3 covers the

architecture and the instructions available for the TMS320C6x processor. Special

instructions and assembler directives that are useful in DSP are discussed. Pro-

gramming examples using both assembly and linear assembly are included in this

chapter.

In Chapter 4 we introduce the z-transform and discuss FIR ﬁlters and the effect

of window functions on these ﬁlters. Chapter 5 covers inﬁnite impulse response

(IIR) ﬁlters. Programming examples to implement real-time FIR and IIR ﬁlters are

included. Appendix D illustrates MATLAB for the design of FIR and IIR ﬁlters.

Chapter 6 covers the development of the fast Fourier transform (FFT). Pro-

gramming examples on FFT are included using both radix-2 and radix-4 FFT. In

xiv

Preface

PR.qxd 10/7/04 3:15 PM Page xiv

Chapter 7 we demonstrate the usefulness of the adaptive ﬁlter for a number of appli-

cations with least mean squares (LMS). Programming examples are included to

illustrate the gradual cancellation of noise or system identiﬁcation. Students have

been very receptive to applications in adaptive ﬁltering. Chapter 8 illustrates tech-

niques for code optimization.

In Chapter 9 we introduce DSP/BIOS and discuss a number of schemes (Visual

C++, MATLAB, etc.) for real-time data transfer (RTDX) and communication

between the PC and the DSK.

Chapter 10 discusses a total of 22 projects implemented by undergraduate and

graduate students. They cover a wide range of DSP applications in ﬁltering, spec-

trum analysis, modulation schemes, speech processing, and so on.

A CD is included with this book and contains all the programs discussed. See

page xxi for a list of the folders that contain the support ﬁles for the examples and

projects.

Over the last 10 years, faculty members from over 200 institutions have taken my

workshops on “DSP and Applications.” Many of these workshops were supported

by grants from the National Science Foundation (NSF) and, subsequently, by Texas

Instruments. I am thankful to NSF, Texas Instruments, and the participating faculty

members for their encouragement and feedback. I am grateful to Dr. Donald Reay

of Heriot-Watt University, who contributed several examples during his review of

my previous book based on the TMS320C6711 DSK. I appreciate the many sug-

gestions made by Dr. Mounir Boukadoum of the University of Quebec, Dr.

Subramaniam Ganesan from Oakland University, and Dr. David Kozel from Purdue

University at Calumet. I also thank Dr. Darrell Horning of the University of New

Haven, with whom I coauthored my ﬁrst book, Digital Signal Processing with the

TMS320C25, for introducing me to “book writing.” I thank al the students at Roger

Williams University, the University of Massachusetts at Dartmouth, and Worcester

Polytechnic Institute (WPI) who have taken my real-time DSP and senior design

project courses, based on the TMS320 processors, over the last 20 years. The con-

tribution of Aghogho Obi, from WPI, is very much appreciated.

The continued support of many people from Texas Instruments is also very much

appreciated: Cathy Wicks and Christina Peterson, in particular, have been very sup-

portive of this book.

Special appreciation: The laboratory assistance of Walter J. Gomes III in several

workshops and during the development of many examples has been invaluable. His

contribution is appreciated.

Rulph Chassaing

Chassaing@msn.com

Chassaing@ece.wpi.edu

Preface xv

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xviii List of Examples

3.3 Factorial of a Number Using C Calling an Assembly Function 104

3.4 32-bit Pseudorandom Noise Generation Using C Calling an

Assembly Function 105

3.5 Code Detection Using C Calling an ASM Function 107

3.6 Dot Product Using Assembly Program Calling an Assembly Function 109

3.7 Dot Product Using C Function Calling a Linear Assembly Function 112

3.8 Factorial Using C Calling a Linear Assembly Function 114

4.1 FIR Filter Implementation: Bandstop and Bandpass 139

4.2 Effects on Voice Using Three FIR Lowpass Filters 144

4.3 Implementation of Four Different Filters: Lowpass, Highpass,

Bandpass, and Bandstop 147

4.4 FIR Implementation with a Pseudorandom Noise Sequence as

Input to a Filter 148

4.5 FIR Filter with Internally Generated Pseudorandom Noise as Input

to a Filter and Output Stored in Memory 151

4.6 Two Notch Filters to Recover Corrupted Input Voice 154

4.7 FIR Implementation Using Four Different Methods 156

4.8 Voice Scrambling Using Filtering and Modulation 158

4.9 Illustration of Aliasing Effects with Down-Sampling 161

4.10 Implementation of an Inverse FIR Filter 163

4.11 FIR Implementation Using C Calling an ASM Function 164

4.12 FIR Implementation Using C Calling a Faster ASM Function 167

4.13 FIR Implementation Using C Calling an ASM Function with a

Circular Buffer 168

4.14 FIR Implementation Using C Calling an ASM Function with a

Circular Buffer in External Memory 172

5.1 IIR Filter Implementation Using Second-Order Stages in Cascade 192

5.2 Generation of Two Tones Using Two Second-Order Difference

Equations 196

5.3 Sine Generation Using a Difference Equation 199

5.4 Generation of a Swept Sinusoid Using a Difference Equation 200

5.5 IIR Inverse Filter 202

5.6 Sine Generation Using a Difference Equation with C Calling an

ASM Function 205

6.1 DFT of a Sequence of Real Numbers with Output from the CCS

Window 225

6.2 FFT of a Real-Time Input Signal Using an FFT Function in C 227

6.3 FFT of a Sinusoidal Signal from a Table Using TI’s C-Callable

Optimized FFT Function 229

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