Discrete-Time Signal Processing, 3rd edition

Published by Pearson (July 14, 2021) © 2010

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

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In this eTextbook — More ways to learn

  • More flexible. Start learning right away, on any device.
  • More supportive. Get AI explanations and practice questions (select titles).
  • More interactive. Bring learning to life with audio, videos, and diagrams.
  • More memorable. Make concepts stick with highlights, search, notes, and flashcards.
  • More understandable. Translate text into 100+ languages with one tap.

In this eTextbook — More ways to learn

  • More flexible. Start learning right away, on any device.
  • More supportive. Get AI explanations and practice questions (select titles).
  • More interactive. Bring learning to life with audio, videos, and diagrams.
  • More memorable. Make concepts stick with highlights, search, notes, and flashcards.
  • More understandable. Translate text into 100+ languages with one tap.

Title overview

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.

Table of contents

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

Author bios

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