Discrete-Time Signal Processing: Pearson New International Edition

Author:   Alan Oppenheim ,  Ronald Schafer ,  Ronald Schafer
Publisher:   Pearson Education Limited
Edition:   3rd edition
ISBN:  

9781292025728


Pages:   1056
Publication Date:   30 July 2013
Format:   Paperback
Availability:   In Print   Availability explained
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Discrete-Time Signal Processing: Pearson New International Edition


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Overview

For senior/graduate-level courses in Discrete-Time Signal Processing. THE definitive, authoritative text on DSP — ideal for those with an introductory-level knowledge of signals and systems. Written by prominent DSP pioneers, it provides thorough treatment of the fundamental theorems and properties of discrete-time linear systems, filtering, sampling, and discrete-time Fourier Analysis. By focusing on the general and universal concepts in discrete-time signal processing, it remains vital and relevant to the new challenges arising in the field.

Full Product Details

Author:   Alan Oppenheim ,  Ronald Schafer ,  Ronald Schafer
Publisher:   Pearson Education Limited
Imprint:   Pearson Education Limited
Edition:   3rd edition
Dimensions:   Width: 21.60cm , Height: 5.60cm , Length: 28.00cm
Weight:   2.580kg
ISBN:  

9781292025728


ISBN 10:   1292025727
Pages:   1056
Publication Date:   30 July 2013
Audience:   College/higher education ,  Tertiary & Higher Education
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of 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 Appendix A. Random Signals Appendix B. Continuous-Time Filters Appendix C. Answers to Selected Basic Problems

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