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Features
New DSP board featured - OMAP-L138 Low Cost Development Kit (LCDK) from Texas Instruments.
Additional project chapters on second order sections for digital filters and adaptive filters added.
Includes three new chapter appendices on how to configure the DSP board to run in a portable battery-operated mode, a comparison of available DPS boards, and the use of code-generation to help with the MATLAB to C step.
Homework problems and solutions manual.
Follow-up Challenges included.
Summary
This updated edition gives readers hands-on experience in real-time DSP using a practical, step-by-step framework that also incorporates demonstrations, exercises, and problems, coupled with brief overviews of applicable theory and MATLAB applications. Organized in three sections that cover enduring fundamentals and present practical projects and invaluable appendices, this new edition provides support for the most recent and powerful of the inexpensive DSP development boards currently available from Texas Instruments: the OMAP-L138 LCDK. It includes two new real-time DSP projects, as well as three new appendices: an introduction to the Code Generation tools available with MATLAB, a guide on how to turn the LCDK into a portable battery-operated device, and a comparison of the three DSP boards directly supported by this edition.
Table of Contents
Table of Contents
List of Figures
List of Tables
List of Program Listings
Preface
Acknowledgments
Section I: Enduring Fundamentals
1 Introduction and Organization
1.1 Why Do You Need This Book?
1.2 Real-Time DSP
1.3 How to Use This Book
1.4 Get Started
1.5 Problems
2 Sampling and Reconstruction
2.1 Theory
2.2 winDSK Demonstration
2.3 Talk-Through Using Windows
2.4 Talk-Through Using MATLAB and Windows
2.5 DSK Implementation in C
2.6 Follow-On Challenges
2.7 Problems
3 FIR Digital Filters
3.1 Theory
3.2 winDSK Demonstration
3.3 MATLAB Implementation
3.4 DSK Implementation in C
3.5 Follow-On Challenges
3.6 Problems
4 IIR Digital Filters
4.1 Theory
4.2 winDSK Demonstration: Notch Filter Application
4.3 MATLAB Implementation
4.4 DSK Implementation in C
4.5 Follow-On Challenges
4.6 Problems
5 Periodic Signal Generation
5.1 Theory
5.2 winDSK Demonstration
5.3 MATLAB Implementation
5.4 DSK Implementation in C
5.5 Pseudonoise Sequences
5.6 Follow-On Challenges
5.7 Problems
6 Frame-Based DSP
6.1 Theory
6.2 winDSK Demonstration
6.3 MATLAB Implementation
6.4 DSK Implementation in C
6.5 Summary of Frame-Based Processing
6.6 Follow-On Challenges
6.7 Problems
7 Digital Filters Using Frames
7.1 Theory
7.2 winDSK Demonstration
7.3 MATLAB Implementation
7.4 DSK Implementation in C
7.5 Follow-On Challenges
7.6 Problems
8 The Fast Fourier Transform
8.1 Theory
8.2 winDSK Demonstration
8.3 MATLAB Implementation
8.4 Implementation in C
8.5 Follow-On Challenges
8.6 Problems
9 Spectral Analysis and Windowing
9.1 Theory
9.2 winDSK Demonstration
9.3 MATLAB Implementation
9.4 DSK Implementation in C
9.5 Conclusion
9.6 Follow-On Challenges
9.7 Problems
Section II: Projects
10 Project 1: Guitar Special Effects
10.1 Introduction to Projects
10.2 Theory
10.3 winDSK Demonstration
10.4 MATLAB Implementation
10.5 DSK Implementation in C
10.6 Follow-On Challenges
11 Project 2: Graphic Equalizer
11.1 Theory
11.2 winDSK Demonstration
11.3 MATLAB Implementation
11.4 DSK Implementation in C
11.5 Follow-On Challenges
12 Project 3: Second-Order Sections
12.1 Theory
12.2 winDSK Demonstration: Notch Filter Application
12.3 MATLAB Implementation
12.4 DSK Implementation in C
12.4.1 Example SOS Code
12.5 Points to Ponder
12.6 Follow-On Challenges
13 Project 4: Peak Program Meter
13.1 Theory
13.2 winDSK Demonstration: commDSK
13.3 MATLAB Implementation
13.4 DSK Implementation in C
13.5 Follow-On Challenges
14 Project 5: Adaptive Filters
14.1 Theory
14.2 winDSK8 Demonstration
14.3 MATLAB Implementation
14.4 DSK Implementation in C
14.5 Follow-On Challenges
15 Project 6: AM Transmitters
15.1 Theory
15.2 winDSK Demonstration
15.3 MATLAB Implementation
15.4 DSK Implementation in C
15.5 Follow-On Challenges
16 Project 7: AM Receivers
16.1 Theory
16.1.1 Envelope Detector
16.1.2 The Hilbert-Based AM Receiver
16.2 winDSK Demonstration
16.3 MATLAB Implementation
16.4 DSK Implementation in C
16.5 Follow-On Challenges
17 Project 8: Phase-Locked Loop
17.1 Theory
17.2 winDSK Demonstration
17.3 MATLAB Implementation
17.4 DSK Implementation in C
17.5 Follow-On Challenges
18 Project 9: BPSK Digital Transmitters
18.1 Theory
18.2 winDSK Demonstration
18.3 MATLAB Implementation
18.4 DSK Implementation in C
18.5 Follow-On Challenges
19 Project 10: BPSK Digital Receivers
19.1 Theory
19.2 winDSK Demonstration
19.3 MATLAB Implementation
19.4 DSK Implementation in C
19.5 Follow-On Challenges
20 Project 11: MPSK and QAM Digital Transmitters
20.1 Theory
20.2 winDSK Demonstration
20.3 MATLAB Implementation
20.4 DSK Implementation in C
20.5 Higher-Order Modulation Schemes
20.6 Follow-On Challenges
21 Project 12: QPSK Digital Receivers
21.1 Theory
21.2 winDSK8 Demonstration
21.3 MATLAB Implementation
21.4 DSK Implementation in C
21.5 Follow-On Challenges
Section III: Appendices
A Code Composer Studio: An Overview
A.1 Introduction
A.2 Starting Code Composer Studio
A.3 Conclusion
B DSP/BIOS
B.1 Introduction
B.2 DSP/BIOS Sample Projects
C Numeric Representations
C.1 Endianness
C.2 Integer Representations
C.3 Integer Division and Rounding
C.4 Floating-Point Representations
C.5 Fixed-Point Representations
C.6 Summary of Numeric Representations
D TMS320C6x Architecture
D.1 Computer Architecture Basics
D.2 TMS320C671x Architecture
D.3 TMS320C674x Architecture
E Related Tools for DSKs
E.1 Introduction
E.2 Windows Control Applications
E.2.1 Sample Windows Control Application
E.3 MATLAB Exports
E.4 MATLAB Real-Time Interface
F Using the Code Generator with MATLAB
F.1 Introduction
F.2 An FIR Filter Example
F.3 Conclusion
G Battery Power for the DSP Boards
G.1 Introduction
G.2 Method
G.3 Testing
G.4 Conclusion
H Programming Perils and Pitfalls
H.1 Debug versus Release Builds
H.2 The Volatile Keyword
H.3 Function Prototypes and Return Types
H.4 Arithmetic Issues
H.5 Controlling the Location of Variables in Memory
H.6 Real-Time Schedule Failures
H.7 Variable Initialization
H.8 Integer Data Sizes
I Comparison of DSP Boards
I.1 Introduction
I.2 Three Boards
I.3 Conclusion
J Abbreviations, Acronyms, and Symbols
Referen