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Discrete-Time Signal Processing, 3/e


Discrete-Time Signal Processing, 3/e
Author(s)  Alan V. Oppenheim and Ronald W. Schafer
ISBN  9789332535039
Imprint  Pearson Education
Copyright  2014
Pages  1064
Binding  Paperback
List Price  Rs. 965.00
  
 
 

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.

  • About the Author
  • Contents
  • Features
  • Downloadable Resources

Alan V. Oppenheim, Massachusetts Institute of Technology


Ronald W. Schafer, Georgia Institute of Technology


 

 

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



 

 



  • Chapter organization is self-contained — A background of advanced calculus and exposure to linear system theory for continuous-time signals is inferred.
  • Material on:
  • Multi-rate filtering banks.
  • The discrete cosine transform.
  • Noise-shaping sampling strategies.
  • Includes several dozen problem-solving examples that not only illustrate key points, but demonstrate approaches to typical problems related to the material.
  • Contains a wealth of class-tested problems which are 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 allow students to check their results, but not solutions (20 per chapter).
  • Basic Problems - without answers.
  • Advanced Problems - provide an opportunity for students to understand.
  • Extension Problems - start from the discussion in the text and lead students beyond to glimpse some advanced areas of signal processing.
  • Offers a wealth of problems and examples.
  •  
 
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