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Discrete-Time Signal Processing, 3rd edition

Published by Pearson (August 18, 2009) © 2010

  • Alan V Oppenheim
  • Ronald W. Schafer Georgia Institute of Technology

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For senior/graduate-level courses in Discrete-Time Signal Processing.

The definitive, authoritative text on DSP

Discrete-Time Signal Processing provides thorough treatment of the fundamental theorems and properties of discrete-time linear systems, filtering, sampling, and discrete-time Fourier Analysis. Written by prominent DSP pioneers, it is the ideal resource for students with an introductory-level knowledge of signals and systems. By focusing on the general and universal concepts in discrete-time signal processing, it remains vital and relevant as new challenges arise in the field.

Access to the password-protected companion website is included with each new copy of Discrete-Time Signal Processing, 3rd Edition. Go to the companion website.

Hallmark features of this title

  • Chapter organization is self-contained. A background of advanced calculus and exposure to linear system theory for continuous-time signals is inferred. The text assumes that students have no prior exposure to discrete time signals, z-transforms, discrete Fourier transforms and the like.
  • Coverage focuses on both the general and universal concepts in discrete-time signal processing. Material is included on multi-rate filtering banks, the discrete cosine transform, and noise-shaping sampling strategies.
  • Covers the full spectrum of discrete-time-signal processing, including the history of discrete-time signal processing, contemporary developments in the field, and the wide range of both present and future applications of the technology.
  • Dozens of problem-solving examples illustrate key points as well as demonstrating approaches to typical problems related to the material.
  • A wealth of class-tested problems represent the best produced over decades of undergraduate and graduate signal processing classes at MIT and Georgia Tech.
  • Problems are organized by level of difficulty into separate categories: Basic Problems with answers to let students check their results; Basic Problems without answers; Advanced Problems; and Extension Problems.

New and updated features of this title

  • NEW: Over 25% new, class-tested problems. Culled from decades of undergraduate and graduate signal processing classes at MIT and Georgia Tech, the problems are organized by category and level of difficulty.
  • NEW: Chapters cover Parametric Signal Modeling (Chapter 11) and Cepstrum Analysis and Homomorphic Deconvolution (Chapter 13).
  • NEW: Access to the password-protected companion website is included with each new copy of Discrete-Time Signal Processing. Created by Mark Yoder and Wayne Padgett, the authors' website provides additional resources for students to study and practice. Go to the companion website.
    • Live Figures help students view the effects on signals as they manipulate variables
    • Build-a-Figure Exercises bring textbook problems to life as they build their figures
    • MATLAB Homework Problems provide more opportunities for self-practice

Brief Contents

  1. Introduction
  2. Discrete Time-Signals and Systems
  3. The z-Transform
  4. Sampling of Continuous-Time Signals
  5. Transform Analysis of Linear Time-Invariant Systems
  6. Structures for Discrete-Time Systems
  7. Filter Design Techniques
  8. The Discrete Fourier Transform
  9. Computation of the Discrete Fourier Transform
  10. Fourier Analysis of Signals Using the Discrete Fourier Transform
  11. Parametric Signal Modeling
  12. Discrete Hilbert Transforms
  13. Cepstrum Analysis and Homomorphic Deconvolution

Appendix A. Random Signals

Appendix B. Continuous-Time Filters

Appendix C. Answers to Selected Basic Problems

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