Digital Signal Processing System Design: LabVIEW-Based Hybrid Programming

Transcription

1 Digital Signal Processing System Design: LabVIEW-Based Hybrid Programming by Nasser Kehtarnavaz University of Texas at Dallas With laboratory contributions by Namjin Kim and Qingzhong Peng 1111» AMSTERDAM BOSTON HEIDELBERG LONDON NEW YORK OXFORD PARIS * SAN DIEGO SAN FRANCISCO " SINGAPORE SYDNEY TOKYO ACADEMIC HJ ^r,v I r^lx Academic Press is an imprint of" Elsevier PRESS

2 Preface What's On the CD-ROM? Chapter 1: Introduction... J 1.1 Digital Signal Processing Hands-On Lab Courses Organization Software Installation Updates Bibliography 4 Chapter 2: LabVIEW Craphical Programming Environment Virtual Instruments (Vis) Front Panel and Block Diagram Icon and Connector Pane Graphical Environment Functions Palette Controls Palette Tools Palette Building a Front Panel Controls Indicators Align, Distribute, and Resize Objects Building a Block Diagram Express VI and Function Terminal Icons Wires Structures ForLoop While Loop Case Structure 14 xi xiii V

3 2.5 MathScript Grouping Data: Array & Cluster Debugging and Profiling Vis Probe Tool Profile Tool Bibliography 18 Lab 1: Cetting Familiär with LabVIEW: Part I 19 Ll.l Building a Simple VI 20 LI.1.1 VICreation 20 Ll.1.2 SubVI Creation 25 LI.2 Using Structures and SubVIs 29 L1.3 Create an Array with Indexing 33 L1.4 Debugging Vis: Probe Tool 34 LI.5 Bibliography 36 LI.6 Lab Experiments 36 Lab 2: Cetting Familiär with LabVIEW: Part II 37 L2.1 Express Vis Versus Regulär Vis 37 L2.1.1 Building a System VI with Express Vis 37 L2.1.2 Building a System with Regulär Vis 45 L2.2 Hybrid Programming 50 L2.2.1 MathScript Feature 50 L2.2.2 Call Library Function Feature 51 L Building C DLL Using MS Visual Studio 51 L Calling C DLL from LabVIEW 52 L2.3 Profile VI 54 L2.4 Bibliography 56 L2.5 Lab Experiments 56 Chapter 3: Analog-to-Digital Signal Conversion Sampling Fast Fourier Transform Quantization Signal Reconstruction Bibliography 67 Lab 3: Sampling, Quantization, and Reconstruction 69 L3.1 Aliasing 69 L3.2 Fast Fourier Transform 76 L3.3 Quantization 80 L3.4 Signal Reconstruction 87 L3.5 Bibliography 90 L3.6 Lab Experiments 91 vi

4 Chapter 4: Digital Filtering Digital Filtering Difference Equations Stability and Structure Lab VIEW Digital Filter Design Toolkit Filter Design Analysis of Filter Design Fixed-Point Filter Design Multi-rate Digital Filter Design Bibliography 98 Lab 4: FIR/IIR Filtering System Design L4.1 FIR Filtering System 99 L4.1.1 Design FIR Filter with DFD Toolkit 99 L4.1.2 Creating a Filtering System VI 101 L4.2 HR Filtering System 106 L4.2.1 HR Filter Design 106 L4.2.2 Filtering System 110 L4.3 Building Filtering System Using Filter Coefficients 112 L4.4 Filter Design Without Using DFD Toolkit 113 L4-5 Building Filtering System Using Dynamic Link Library (DLL) 115 L4-5.1 Point-by-Point Processing 115 L4.5.2 Creating DLL in C 118 L4.5.3 Calling DLL from LabVIEW 119 L4.6 Bibliography 120 L4.7 Lab Experiments 121 Chapter 5: Fixed-Point versus Floating-Point Q-format Number Representation Finite Word Length Effects Floating-Point Number Representation Overflow and Scaling Data Types in LabVIEW Bibliography 132 Lab 5: Data Type and Scaling 733 L5.1 Handling Data Types in LabVIEW 133 L5.2 Overflow Handling 135 L5.2.1 Q-Format Conversion 137 L5.2.2 Creating a Polymorphie VI 138 vii

5 L5.3 Scaling Approach 140 L5.4 Digital Filtering in Fixed-Point Format 143 L5.4-1 Design and Analysis of Fixed-Point Digital Filtering System 143 L5.4.2 Filtering System 146 L5.4.3 Fixed-Point HR Filter Example 150 L5.5 Bibliography 154 L5.6 Lab Experiments 154 Chapter 6: Adaptive Filtering System Identification Noise Cancellation Bibliography 160 Lab 6: Adaptive Filtering Systems L6.1 System Identification 161 L6.1.1 Least Mean Square (LMS) Algorithm 161 L6.1.2 Waveform Chart 163 L6.1.3 Shift Register and Feedback Node 163 L6.2 Noise Cancellation 168 L6.3 Lab Experiments 173 Chapter 7: Frequency Domain Processing Discrete Fourier Transform (DFT) and Fast Fourier Transform (FFT) Short-Time Fourier Transform (STFT) Discrete Wavelet Transform (DWT) Signal Processing Toolset Bibliography 181 Lab 7: FFT, STFT, and DWT 183 L7.1 FFT Versus STFT 183 L7.1.1 PropertyNode 189 L7.2DWT 190 L7.3 Bibliography 195 L7.4 Lab Experiments 195 Chapter 8: DSP Implementation Platform: TMS320C6x Architecture and Software Tools TMS320C6XDSP Pipelined CPU C64x DSP 199 viii

6 8.2 C6x DSK Target Boards Board Configuration and Peripherals Memory Organization DSP Programming Software Tools: Code Composer Studio Linking Compiling Bibliography 206 Lab 8: Cetting Familiär with Code Composer Studio 207 L8.1 Code Composer Studio 207 L8.2 Creating Projects 207 L8.3 Debugging Tools 214 L8.4 Bibliography 222 Chapter 9: LabVIEW DSP Integration Communication with LabVIEW: Real-Time Data Exchange (RTDX) LabVIEW DSP Test Integration Toolkit for TI DSP Combined Implementation: Gain Example LabVIEW Configuration DSP Configuration Bibliography 230 Lab 9: DSP Integration Examples L9.1 CCS Automation 231 L9.2 Digital Filtering 233 L9.2.1 FIR Filter 233 L9.2.2 HR Filter 238 L9.3 Fixed-Point Implementation 244 L9.4 Adaptive Filtering Systems 248 L9.4.1 System Identification 248 L9.4-2 Noise Cancellation 252 L9.5 Frequency Processing: FFT 254 L9.6 Bibliography 264 Chapter 10: DSP System Design: Dual Tone Multi-Frequency (DTMF) Signaling Bibliography 268 Lab 10: Hybrid Programming of Dual Tone Multi-Frequency System L10.1 DTMF Tone Generator System 269 L10.2 DTMF Decoder System 273 L10.3 Bibliography 275 ix

7 Chapter 11: DSP System Design: Software-Defined Radio QAM Transmitter QAMReceiver Ideal QAM Demodulation Frame Synchronization Decision-Based Carrier Tracking Bibliography 284 Lab 11: Hybrid Programming of a 4-QAM Modem System Lll.l QAM Transmitter 286 L11.2QAMReceiver 289 LI 1.3 Bibliography 301 Chapter 12: DSP System Design: Cochlear Impiant Simulator Cochlear Impiant System Real-Time Implementation Pre-Emphasis Filter Filterbank for Decomposition and Synthesis Envelope Detection White Noise Excitation Bibliography 308 Lab 12: Hybrid Programming of Cochlear Impiant Simulator System 309 L12.1 Filter Design 310 LI2.1.1 Bandpass Filter Design 312 LI2.1.2 Lowpass Filter Design 314 LI2.2 Real-Time Implementation 315 L12.3 Bibliography 320 Index 321 x