Download Real Time Digital Signal Processing: Implementations, by Sen M Kuo, Bob H Lee(auth.) PDF

By Sen M Kuo, Bob H Lee(auth.)

The quick development in electronic expertise in recent times has allowed the implementation of really subtle electronic sign processing (DSP) algorithms that make real-time projects possible. Real-time DSP is at the moment a truly scorching topic in present day engineering fields fuelled via the ever-increasing call for for high-performance electronic sign processors. The TMS320C55x is the newest of Texas Instrument's line of hugely winning DSP chips, that's expected to dominate the industry in 2001.
putting emphasis at the sensible features of actual time DSP options and purposes via taking a platforms layout, implementation and simulation process, this article bridges the space within the present DSP literature which covers thought, MATLAB and C and Lab manuals. A hands-on, instructional procedure permits the knowledge of real-time DSP structures rules and real-world purposes utilizing MATLAB, C and numerous meeting courses in keeping with TI's TMS320C55x.
* instructional dependent presentation, permitting the reader to grasp the idea of electronic sign processing and the $64000 ability of real-time DSP layout and implementation techniques.

* specializes in functional features of real-time DSP options and purposes from a procedure layout and implementation aspect of view

* Accompanying CD-ROM containing MATLAB and C meeting courses will permit a hands-on representation of real-time DSP application

* For readers with entry to a TI DSP lab, an overview Module (EVM) with Code Compressor Studio (CCS) of TMS320C55x might be built-in into lab experiments, initiatives and functions from in-text references
A important, cutting edge source for senior graduate scholars of electronic sign processing and training engineers constructing real-time DSP functions.

Chapter 1 creation to Real?Time electronic sign Processing (pages 1–34):
Chapter 2 advent to TMS320C55x electronic sign Processor (pages 35–76):
Chapter three DSP basics and Implementation concerns (pages 77–126):
Chapter four Frequency research (pages 127–180):
Chapter five layout and Implementation of FIR Filters (pages 181–240):
Chapter 6 layout and Implementation of IIR Filters (pages 241–302):
Chapter 7 quick Fourier rework and Its functions (pages 303–350):
Chapter eight Adaptive Filtering (pages 351–398):
Chapter nine useful DSP purposes in Communications (pages 399–444):

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Extra resources for Real Time Digital Signal Processing: Implementations, Applications and Experiments with the TMS320C55X

Example text

High quality DSP applications, such as professional digital audio, require the use of reconstruction filters with very stringent specifications. From the frequency-domain viewpoint (will be presented in Chapter 4), the output of the DAC contains unwanted high frequency or image components centered at multiples of the sampling frequency. Depending on the application, these high-frequency components may cause undesired side effects. Take an audio CD player for example. Although the image frequencies may not be audible, they could overload the amplifier and cause inter-modulation with the desired baseband frequency components.

1 Experiment 1A ± Using the CCS and the TMS320C55x Simulator This experiment introduces the basic features to build a project with the CCS. The purposes of the experiment are to: (a) create projects, (b) create source files, (c) create linker command file for mapping the program to DSP memory space, (d) set paths for C compiler and linker to search include files and libraries, and (e) build and load program for simulation. Let us begin with the simple sinewave example to get familiar with the TMS320C55x simulator.

Programming in assembly language gives the engineers full control of processor functions, thus resulting in the most efficient program for mapping the algorithm by hand. However, this is a very time-consuming and laborious task, especially for today's highly paralleled DSP architectures. A C program is easier for software upgrades and maintenance. However, the machine code generated by a C compiler is inefficient in both processing speed and memory usage. Recently, DSP manufactures have improved C compiler efficiency dramatically.

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