Prentice Hall
Engineering
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Introduction to Signal Processing
ISBN-10: 0132091720
ISBN-13: 9780132091725
Publisher: Prentice Hall
Copyright: 1996
Format: Paper; 798 pp
Published: 08/02/1995
Status: Out of Print
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Appropriate for introductory courses on digital signal processing at the junior and senior undergraduate levels. Also appropriate for lab and project-oriented courses and self-study, and can be used as a supplement for first year graduate courses.
Provides an applications-oriented introduction to digital signal processing. Orfandis covers all the basic DSP concepts and methods, such as sampling, discrete-time systems, DFT/FFT algorithms, and filter design. The book emphasizes the algorithmic, computational, and programming aspects of DSP, and includes a large number of worked examples, applications, and computer examples. Applications, such as wavetables and digital audio effects, were chosen to motivate and appeal to undergraduates.
- presents basic DSP concepts and algorithms in a clear and intuitive style.
- takes a hands-on practical approach and includes 100 C and MATLAB functions for designing and implementing digital filters and other DSP operations.
- contains over 350 problems, 75 of which are computer experiments.
- allows instructors to easily customize the material to any desired level of presentation: junior, senior, graduate, or project-based.
- teaches students to systematically analyze block diagrams and implement them by emphasizing the algorithmic, computational, and programming aspects of DSP.
- includes several topics that are hard to find in the DSP literature, such as circular buffers, parametric equalizer design, audio effects processing, Savitzhy-Golay smoothing filters, and noise shaping.
1. Sampling and Reconstruction.
2. Quantization.
3. Discrete-Time Systems.
4. FIR Filtering and Convolution.
5. z-Transforms.
6. Transfer Functions.
7. Digital Filter Realizations.
8. Signal Processing Applications.
9. DFT/FFT Algorithms.
10. FIR Digital Filter Design.
11. IIR Digital Filter Design.
12. Interpolation, Decimation, and Oversampling.
13. Appendices.
References.
Index.
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