Real-Time Digital Signal Processing : Based on the TMS320C6000

Digital Signal Processing has undergone enormous growth in usage/implementation in the last 20 years and many engineering schools are now offering real-time DSP courses in their undergraduate curricula. Our everyday lives involve the use of DSP systems in things such as cell phones and high-speed modems; Texas Instruments has introduced the TMS320C6000 DSP processor family to meet the high performance demands of today’s signal processing applications.

This book provides the know-how for the implementation and optimization of computationally intensive signal processing algorithms on the Texas Instruments family of TMS320C6000 DSP processors. It is organized in such a way that it can be used as the textbook for DSP lab courses offered at many engineering schools or as a self-study/reference for those familiar with DSP but not this family of processors.

This book provides a restructured, modified, and condensed version of the information in more than twenty TI manuals so that one can learn real-time DSP implementations on the C6000 family in a structured course, within one semester. Each chapter is followed by an appropriate lab exercise to provide the hands-on lab material for implementing appropriate signal processing
functions. These labs are included on the accompanying CD to take the reader through the entire process of C6X code writing.

 

 

Table of Contents:

Introduction: Examples of DSP systems, Organization of Chapters, Required Software/Hardware; Analog to Digital Signal Conversion: Sampling, Quantization,
Signal Reconstruction; TMS320C6x Architecture: CPU Operation (Dot Product Example, Pipelined CPU,
VelociTI, C64x DSP; Software Tools: DSK Target DSP Board, Assembly File, Memory Management, Compiler Utility, Code Initialization, Lab 1: Getting Familiar with Code Composer Studio; Interrupt Data Processing, Lab 2: Audio Signal Sampling; Fixed-Point vs Floating-Point:Q-Format Number Representation on Fixed-Point DSPs, Finite Word Length Effects on Fixed-Point DSPs, Floating-Point Number Representation, Overflow and Scaling, Some Useful Arithmetic Operations, Lab 3: Integer Arithmetic; Code Optimization: Word Wide Optimization, Mixing C and Assembly, Software Pipelining, Lab 4: Real-Time Filtering; Circular Buffering: Lab 5: Adaptive Filtering; Frame Processing: Direct Memory Access, DSP-Host Communication, Lab 6: Fast Fourier Transform;
Real-Time Analysis and Scheduling: Real-Time Analysis and Instrumentation, Real-Time Scheduling,
Real-Time Data Exchange, Lab 7: DSP/BIOS, Lab 8: Data Synchronization and Communication.