Real-Time Digital Signal Processing: Based on the Tms320C6000

ISBN-13: 9780750678308 / Angielski / Miękka / 2004 / 306 str.

Nasser Kehtarnavaz; Namjin Kim

Opis

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.

• Each chapter is followed by an appropriate lab exercise
• Provides the hands-on lab material for implementing appropriate signal processing functions

Spis treści

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.