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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).
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