
Résumé
Digital Signal Processing (DSP), as the term suggests, is the processing of signals using digital computers. These signals might be anything transferred from an analog domain to a digital form (e.g., temperature and pressure sensors, voices over a telephone, images from a camera, or data transmittal though computers). As a result, understanding the whole spectrum of DSP technology can be a daunting task for electrical engineering professionals and students alike.
Digital Signal Processing Fundamentals provides a comprehensive look at DSP by introducing the important mathematical processes and then providing several application-specific tutorials for practicing the techniques learned. Beginning with general theory, including Fourier Analysis, the mathematics of complex numbers, Fourier transforms, differential equations, analog and digital filters, and much more; the book then delves into Matlab and Scilab tutorials with examples on solving practical engineering problems, followed by software applications on image processing and audio processing-complete with all the algorithms and source code. This is an invaluable resource for anyone seeking to understand how DSP works.
Features:
- Provides a comprehensive overview and introduction of digital signal processing technology
- Provides applications with software algorithms
- Explains the concept of Nyquist frequency, orthogonal functions, and method of finding Fourier coefficients
- Includes a CD-ROM with the source code for the projects plus Matlab and Scilab scripts that generate graphs, figures in the book, and third party application software
- Discusses the techniques of digital filtering and windowing of input data, including: Butterwoth, Chebyshev, and elliptic filter formulation
On the CD
The CD-ROM contains useful tutorials, source code from the text,
and third-party software. (Please see Appendix D for
details.)
System Requirements
To run all of the applications on this CD-ROM you will need a PC
with 900MHz Pentium III processor or equivalent; WinXP, Linux
(Red Hat 8.0 or later, or comparable Linux distribution); 128MB
RAM; 2MB free hard disk space; CD-ROM drive; Grace v5.1.1.12;
Perl v5.8.5; Perl/Tk module Tk-804.027; high resolution graphics
card (see Appendix D for detailed requirements for running the
Scilab and Matlab software).
L'auteur - Ashfaq A Khan
Ashfaq A. Khan (Baton Rouge, LA) is a senior software engineer for LIGO Livingston Observatory, with over 20 years of experience in system design. He has conducted several workshops and is the author of Practical Linux Programming: Device Drivers, Embedded Systems, and the Internet.
Sommaire
- Acknowledgments
- Preface
- Fourier Analysis
- Complex Number Arithmetic
- The Fourier Transform
- Solutions of Differential Equations
- Laplace Transforms and z-Transforms
- Filter Design
- Digital Filters
- The FIR Filters
- Appendix A: Matlab Tutorial
- Appendix B: Scilab Tutorial
- Appendix C: Digital Filter Applications
- Appendix D: About the CD-ROM
- Appendix E: Software Licenses
- Appendix F: Bibliography
- Index
Caractéristiques techniques
PAPIER | |
Éditeur(s) | Da Vinci Engineering Press |
Auteur(s) | Ashfaq A Khan |
Parution | 31/12/2004 |
Nb. de pages | 391 |
Format | 19 x 24 |
Couverture | Relié |
Poids | 1003g |
Intérieur | Noir et Blanc |
EAN13 | 9781584502814 |
ISBN13 | 978-1-58450-281-4 |
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