Description
Taylor & Francis Ltd Real Time Digital Signal Processing From Matlab To C With The Tms320C6X Dsps 3Rd Edition 2017 by Thad B. Welch
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 ContentsList of FiguresList of TablesList of Program ListingsPrefaceAcknowledgmentsSection I: Enduring Fundamentals1 Introduction and Organization1.1 Why Do You Need This Book?1.2 Real-Time DSP1.3 How to Use This Book1.4 Get Started1.5 Problems2 Sampling and Reconstruction2.1 Theory2.2 winDSK Demonstration2.3 Talk-Through Using Windows2.4 Talk-Through Using MATLAB and Windows2.5 DSK Implementation in C2.6 Follow-On Challenges2.7 Problems3 FIR Digital Filters3.1 Theory3.2 winDSK Demonstration3.3 MATLAB Implementation3.4 DSK Implementation in C3.5 Follow-On Challenges3.6 Problems4 IIR Digital Filters4.1 Theory4.2 winDSK Demonstration: Notch Filter Application4.3 MATLAB Implementation4.4 DSK Implementation in C4.5 Follow-On Challenges4.6 Problems5 Periodic Signal Generation5.1 Theory5.2 winDSK Demonstration5.3 MATLAB Implementation5.4 DSK Implementation in C5.5 Pseudonoise Sequences5.6 Follow-On Challenges5.7 Problems6 Frame-Based DSP6.1 Theory6.2 winDSK Demonstration6.3 MATLAB Implementation6.4 DSK Implementation in C6.5 Summary of Frame-Based Processing6.6 Follow-On Challenges6.7 Problems7 Digital Filters Using Frames7.1 Theory7.2 winDSK Demonstration7.3 MATLAB Implementation7.4 DSK Implementation in C7.5 Follow-On Challenges7.6 Problems8 The Fast Fourier Transform8.1 Theory8.2 winDSK Demonstration8.3 MATLAB Implementation8.4 Implementation in C8.5 Follow-On Challenges8.6 Problems9 Spectral Analysis and Windowing9.1 Theory9.2 winDSK Demonstration9.3 MATLAB Implementation9.4 DSK Implementation in C9.5 Conclusion9.6 Follow-On Challenges9.7 ProblemsSection II: Projects10 Project 1: Guitar Special Effects 10.1 Introduction to Projects10.2 Theory10.3 winDSK Demonstration10.4 MATLAB Implementation10.5 DSK Implementation in C10.6 Follow-On Challenges11 Project 2: Graphic Equalizer11.1 Theory11.2 winDSK Demonstration11.3 MATLAB Implementation11.4 DSK Implementation in C11.5 Follow-On Challenges12 Project 3: Second-Order Sections12.1 Theory12.2 winDSK Demonstration: Notch Filter Application12.3 MATLAB Implementation12.4 DSK Implementation in C12.4.1 Example SOS Code12.5 Points to Ponder12.6 Follow-On Challenges13 Project 4: Peak Program Meter13.1 Theory13.2 winDSK Demonstration: commDSK13.3 MATLAB Implementation13.4 DSK Implementation in C13.5 Follow-On Challenges14 Project 5: Adaptive Filters14.1 Theory14.2 winDSK8 Demonstration14.3 MATLAB Implementation14.4 DSK Implementation in C14.5 Follow-On Challenges15 Project 6: AM Transmitters15.1 Theory15.2 winDSK Demonstration15.3 MATLAB Implementation15.4 DSK Implementation in C15.5 Follow-On Challenges16 Project 7: AM Receivers16.1 Theory16.1.1 Envelope Detector16.1.2 The Hilbert-Based AM Receiver16.2 winDSK Demonstration16.3 MATLAB Implementation16.4 DSK Implementation in C16.5 Follow-On Challenges17 Project 8: Phase-Locked Loop17.1 Theory17.2 winDSK Demonstration17.3 MATLAB Implementation17.4 DSK Implementation in C17.5 Follow-On Challenges18 Project 9: BPSK Digital Transmitters18.1 Theory18.2 winDSK Demonstration18.3 MATLAB Implementation18.4 DSK Implementation in C18.5 Follow-On Challenges19 Project 10: BPSK Digital Receivers19.1 Theory19.2 winDSK Demonstration19.3 MATLAB Implementation19.4 DSK Implementation in C19.5 Follow-On Challenges20 Project 11: MPSK and QAM Digital Transmitters20.1 Theory20.2 winDSK Demonstration20.3 MATLAB Implementation20.4 DSK Implementation in C20.5 Higher-Order Modulation Schemes20.6 Follow-On Challenges21 Project 12: QPSK Digital Receivers21.1 Theory21.2 winDSK8 Demonstration21.3 MATLAB Implementation21.4 DSK Implementation in C21.5 Follow-On ChallengesSection III: AppendicesA Code Composer Studio: An OverviewA.1 IntroductionA.2 Starting Code Composer StudioA.3 ConclusionB DSP/BIOSB.1 IntroductionB.2 DSP/BIOS Sample ProjectsC Numeric RepresentationsC.1 EndiannessC.2 Integer RepresentationsC.3 Integer Division and RoundingC.4 Floating-Point RepresentationsC.5 Fixed-Point RepresentationsC.6 Summary of Numeric RepresentationsD TMS320C6x ArchitectureD.1 Computer Architecture BasicsD.2 TMS320C671x ArchitectureD.3 TMS320C674x ArchitectureE Related Tools for DSKsE.1 IntroductionE.2 Windows Control ApplicationsE.2.1 Sample Windows Control ApplicationE.3 MATLAB ExportsE.4 MATLAB Real-Time InterfaceF Using the Code Generator with MATLABF.1 IntroductionF.2 An FIR Filter ExampleF.3 ConclusionG Battery Power for the DSP BoardsG.1 IntroductionG.2 MethodG.3 TestingG.4 ConclusionH Programming Perils and PitfallsH.1 Debug versus Release BuildsH.2 The Volatile KeywordH.3 Function Prototypes and Return TypesH.4 Arithmetic IssuesH.5 Controlling the Location of Variables in MemoryH.6 Real-Time Schedule FailuresH.7 Variable InitializationH.8 Integer Data SizesI Comparison of DSP BoardsI.1 IntroductionI.2 Three BoardsI.3 ConclusionJ Abbreviations, Acronyms, and SymbolsReferencesIndex