Digital Signal Processing and Applications with the OMAP - L138 eXperimenter

Preface xi List of Examples xiii 1. OMAP-L138 Development System 1 1.1 Introduction 1 1.1.1 Digital Signal Processors 3 1.2 Hardware and Software Tools 4 1.2.1 Zoom OMAP-L138 eXperimenter Board 6 1.2.2 C6748 Processor 6 1.2.3 Code Composer Studio IDE 6 1.2.4 Installation of Code Composer Studio Software Version 4 and Support Files 7 1.3 Initial Test of the Experimenter Using a Program Supplied with this Book 8 1.4 Programming Examples to Test the Experimenter 14 1.5 Support Files 31 1.5.1 Initialization and Configuration File (L138_aic3106_init.c) 31 1.5.2 Header File (L138_aic3106_init.h) 32 1.5.3 Vector Files (vectors_intr.asm and vectors_poll.asm) 32 1.5.4 Linker Command File (linker_dsp.cmd) 34 Exercises 36 References 37 2. Analog Input and Output with the OMAP-L138 eXperimenter 38 2.1 Introduction 38 2.1.1 Sampling, Reconstruction, and Aliasing 39 2.2 TLV320AIC3106 (AIC3106) On-Board Stereo Codec for Analog Input and Output 39 2.3 Programming Examples Using C Code 41 2.3.1 Real-Time Input and Output Using Polling, Interrupts, and Direct Memory Access 41 2.3.2 Real-Time Sine Wave Generation 64 References 102 3. Finite Impulse Response Filters 103 3.1 Introduction to Digital Filters 103 3.1.1 FIR Filter 103 3.1.2 Introduction to the z-Transform 105 3.1.3 Properties of the z-Transform 107 3.1.4 z-Transfer Functions 109 3.1.5 Mapping from the s-Plane to the z-Plane 109 3.1.6 Difference Equations 111 3.1.7 Frequency Response and the z-Transform 112 3.1.8 Ideal Filter Response Classifications: LP, HP, BP, and BS 112 3.1.9 Window Method of Filter Design 113 3.1.10 Window Functions 114 3.1.11 Design of Band-Pass and High-Pass Filters Using Frequency Shifting 120 3.2 Programming Examples Using C And ASM Code 123 References 158 4. Infinite Impulse Response Filters 159 4.1 Introduction 159 4.2 IIR Filter Structures 160 4.2.1 Direct Form I Structure 160 4.2.2 Direct Form II Structure 161 4.2.3 Direct Form II Transpose 162 4.2.4 Cascade Structure 164 4.2.5 Parallel Form Structure 165 4.3 Impulse Invariance 166 4.4 Bilinear Transformation 167 4.4.1 Bilinear Transform Design Procedure 169 4.5 Programming Examples Using C and ASM Code 169 4.5.1 Design of a Simple IIR Low-Pass Filter 169 Reference 211 5. Fast Fourier Transform 212 5.1 Introduction 212 5.2 Development of the FFT Algorithm with Radix-2 213 5.3 Decimation-In-Frequency FFT Algorithm with Radix-2 214 5.4 Decimation-In-Time FFT Algorithm with RADIX-2 218 5.4.1 Reordered Sequences in the Radix-2 FFT and Bit-Reversed Addressing 220 5.5 Decimation-In-Frequency FFT Algorithm with Radix-4 221 5.6 Inverse Fast Fourier Transform 223 5.7 Programming Examples Using C Code 223 5.7.1 Frame- or Block-Based Processing 233 5.7.2 Fast Convolution 258 References 278 6. Adaptive Filters 279 6.1 Introduction 279 6.2 Adaptive Filter Configurations 280 6.2.1 Adaptive Prediction 280 6.2.2 System Identification or Direct Modeling 281 6.2.3 Noise Cancellation 281 6.2.4 Equalization 283 6.3 Performance Function 283 6.3.1 Visualizing the Performance Function 285 6.4 Searching for the Minimum 285 6.5 Least Mean Squares Algorithm 287 6.5.1 LMS Variants 288 6.6 Programming Examples 288 7. DSP/BIOS and Platform Support Package 307 7.1 Introduction to DSP/BIOS 307 7.1.1 DSP/BIOS Threads 307 7.1.2 DSP/BIOS Configuration Tool 308 7.1.3 DSP/BIOS Start-Up Sequence 309 7.1.4 Hardware Interrupts 310 7.1.5 Software Interrupts 320 7.1.6 Tasks and Idle Functions 322 7.1.7 Periodic Functions 327 7.1.8 Real-Time Analysis with DSP/BIOS 329 7.2 DSP/BIOS Platform Support Package 329 References 335 Index 337