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Discrete-Time Signal Processing: Pearson New International Edition

Discrete-Time Signal Processing: Pearson New International Edition

Authors
Publisher Pearson International Content
Year 29/08/2013
Edition Third
Version eBook: Fixed Page eTextbook (PDF)
Language English
ISBN 9781292038155
Categories Signal processing, Miscellaneous items
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Book description

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. The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed.

Discrete-Time Signal Processing: Pearson New International Edition

Table of contents


  • 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: Random Signals

  • Appendix: Continuous-Time Filters

  • Index

  • A

  • B

  • C

  • D

  • E

  • F

  • G

  • H

  • I

  • J

  • K

  • L

  • M

  • N

  • O

  • P

  • Q

  • R

  • S

  • T

  • U

  • V

  • W

  • Y

  • Z

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