Digital Signal Processing and Applications with the TMS320C6713 and TMS320C6416 DSK

The late RULPH CHASSAING, PHD, taught Real-Time DSP at Worcester Polytechnic Institute. In addition to offering many DSP training workshops and seminars, he authored four other books: DSP Applications Using C and the TMS320C6x DSK; Digital Signal Processing: Laboratory Experiments Using C and the TMS320C31 DSK; Digital Signal Processing with C and the TMS320C30; and Digital Signal Processing with C and the TMS320C25, all published by Wiley. DONALD REAY, PHD, is a Lecturer in the School of Engineering and Physical Sciences at Heriot-Watt University in Edinburgh, Scotland.

• Preface xvPreface to the First Edition xviiList of Examples xxiPrograms/Files on Accompanying CD xxvii1 DSP Development System 11.1 Introduction 11.2 DSK Support Tools 31.3 Code Composer Studio 61.4 Quick Tests of the DSK (On Power On and Using CCS) 71.5 Programming Examples to Test the DSK Tools 91.6 Support Files 301.7 Assignments 38References 412 Input and Output with the DSK 452.1 Introduction 452.2 TLV320AIC23 (AIC23) Onboard Stereo Codec for Input and Output 462.3 Programming Examples Using C Code 482.4 Assignments 101References 1013 Architecture and Instruction Set of the C6x Processor 1023.1 Introduction 1023.2 TMS320C6x Architecture 1043.3 Functional Units 1053.4 Fetch and Execute Packets 1063.5 Pipelining 1083.6 Registers 1103.7 Linear and Circular Addressing Modes 1103.8 TMS320C6x Instruction Set 1123.9 Assembler Directives 1153.10 Linear Assembly 1163.11 ASM Statement Within C 1173.12 C-Callable Assembly Function 1173.13 Timers 1183.14 Interrupts 1183.15 Multichannel Buffered Serial Ports 1213.16 Direct Memory Access 1223.17 Memory Considerations 1223.18 Fixed- and Floating-Point Format 1243.19 Code Improvement 1263.20 Constraints 1283.21 Programming Examples Using C, Assembly, and Linear Assembly 1303.22 Assignments 142References 1454 Finite Impulse Response Filters 1464.1 Introduction to the z-Transform 1464.1.1 Mapping from s-Plane to z-Plane 1494.1.2 Difference Equations 1504.2 Discrete Signals 1514.3 FIR Filters 1524.4 FIR Lattice Structure 1544.5 FIR Implementation Using Fourier Series 1584.6 Window Functions 1624.7 Programming Examples Using C and ASM Code 1654.8 Assignments 207References 2075 Infinite Impulse Response Filters 2105.1 Introduction 2105.2 IIR Filter Structures 2115.3 Bilinear Transformation 2175.4 Programming Examples Using C and ASM Code 2205.5 Assignments 252References 2536 Fast Fourier Transform 2556.1 Introduction 2556.2 Development of the FFT Algorithm with Radix-2 2566.3 Decimation-in-Frequency FFT Algorithm with Radix-2 2576.4 Decimation-in-Time FFT Algorithm with Radix-2 2636.5 Bit Reversal for Unscrambling 2686.6 Development of the FFT Algorithm with Radix-4 2696.7 Inverse Fast Fourier Transform 2726.8 Programming Examples 273References 3187 Adaptive Filters 3197.1 Introduction 3197.2 Adaptive Structures 3217.3 Adaptive Linear Combiner 3247.4 Performance Function 3277.5 Searching for the Minimum 3297.6 Programming Examples for Noise Cancellation and System Identification 332References 3528 Code Optimization 3548.1 Introduction 3548.2 Optimization Steps 3558.3 Procedure for Code Optimization 3568.4 Programming Examples Using Code Optimization Techniques 3568.5 Software Pipelining for Code Optimization 3638.6 Execution Cycles for Different Optimization Schemes 372References 3739 DSP/BIOS and RTDX Using MATLAB, Visual C++, Visual Basic, and LabVIEW 3749.1 Introduction to DSP/BIOS 3749.2 RTDX Using MATLAB to Provide Interface Between PC and DSK 3869.3 RTDX Using Visual C++ to Interface with DSK 4009.4 RTDX Using Visual Basic to Provide Interface Between PC and DSK 4119.5 RTDX Using LabVIEW to Provide Interface Between PC and DSK 415Acknowledgments 421References 42110 DSP Applications and Student Projects 42210.1 DTMF Signal Detection Using Correlation, FFT, and Goertzel Algorithm 42210.2 Beat Detection Using Onboard LEDs 42910.3 FIR with RTDX Using Visual C++ for Transfer of Filter Coefficients 43410.4 Radix-4 FFT with RTDX Using Visual C++ and MATLAB for Plotting 43510.5 Spectrum Display Through EMIF Using a Bank of 32 LEDs 43810.6 Spectrum Display Through EMIF Using LCDs 44010.7 Time–Frequency Analysis of Signals with Spectrogram 44510.8 Audio Effects (Echo and Reverb, Harmonics, and Distortion) 45110.9 Voice Detection and Reverse Playback 45310.10 Phase Shift Keying—BPSK Encoding and Decoding with PLL 45410.11 Binary Phase Shift Keying 46810.12 Modulation Schemes—PAM and PSK 47010.13 Selectable IIR Filter and Scrambling Scheme Using Onboard Switches 47910.14 Convolutional Encoding and Viterbi Decoding 48210.15 Speech Synthesis Using Linear Prediction of Speech Signals 49310.16 Automatic Speaker Recognition 49610.17 u-Law for Speech Companding 50010.18 SB-ADPCM Encoder/Decoder: Implementation of G.722 Audio Coding 50110.19 Encryption Using the Data Encryption Standard Algorithm 50310.20 Phase-Locked Loop 50610.21 Miscellaneous Projects 508Acknowledgments 522References 523Appendix A TMS320C6x Instruction Set 528A.1 Instructions for Fixed- and Floating-Point Operations 528A.2 Instructions for Floating-Point Operations 528References 528Appendix B Registers for Circular Addressing and Interrupts 530Reference 530Appendix C Fixed-Point Considerations 533C.1 Binary and Two’s-Complement Representation 533C.2 Fractional Fixed-Point Representation 536C.3 Multiplication 536Reference 539Appendix D MATLAB and Goldwave Support Tools 540D.1 fdatool for FIR Filter Design 540D.2 fdatool for IIR Filter Design 542D.3 MATLAB for FIR Filter Design Using the Student Version 544D.4 MATLAB for IIR Filter Design Using the Student Version 546D.5 Using the Goldwave Shareware Utility as a Virtual Instrument 548References 549Appendix E Fast Hartley Transform 550References 556Appendix F Goertzel Algorithm 557F.1 Design Considerations 557References 560Appendix G TMS320C6416 DSK 561G.1 TMS320C64x Processor 561G.2 Programming Examples Using the C6416 DSK 562References 566Index 567

"While there are numerous texts on DSP, this one is very useful due to the succinct style of presentation and the inclusion of many illustrative programming examples and student projects. The typesetting and layout are praiseworthy, and the coverage of topics is laudable." (Computing Reviews, October 1, 2008)