Digital Signal Processing with Student CD ROM / Edition 4

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Overview

Based on Sanjit Mitra’s extensive teaching and research experience, Digital Signal Processing, A Computer Based Approach, fourth edition, is written with the reader in mind. A key feature of this book is the extensive use of MATLAB-based examples that illustrate the program's powerful capability to solve signal processing problems. The book is intended for a course on digital signal processing for seniors or first-year graduate students. This highly popular book introduces the tools used in the analysis and design of discrete-time systems for signal processing. A number of changes have been made to the book’s content, based on reviewer and student comments.
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Product Details

  • ISBN-13: 9780077366766
  • Publisher: McGraw-Hill Higher Education
  • Publication date: 9/13/2010
  • Edition description: New Edition
  • Edition number: 4
  • Pages: 940
  • Sales rank: 294,509
  • Product dimensions: 8.20 (w) x 9.30 (h) x 1.60 (d)

Meet the Author

Sanjit Mitra, Ph.D., University of California, Berkeley.

Professor Mitra transferred to UCSB in July 1977 after 10 years at UC Davis. He obtained his B.Sc. with honors in Physics (1953) and the M.Sc. (Tech.) in Radio Physics and Electronics (1956) in India. He then obtained his M.S. (1960) and Ph.D. (1962) in electrical engineering from UC Berkeley. He has published over 600 papers in the areas of analog and digital signal processing, and image processing. He has also authored and co-authored twelve books, and holds five patents. Dr. Mitra has served IEEE in various capacities including service as the President of the IEEE Circuits & Systems Society in 1986, and has held visiting appointments in Australia, Austria, Finland, India, Japan, Singapore and the United Kingdom.

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Table of Contents

1 Signals and Signal Processing

2 Discrete-Time Signals in the Time Domain

3 Discrete-Time Signals in the Frequency Domain

4 Discrete-Time Systems

5 Finite-Length Discrete Transforms

6 z-Transform

7 LTI Discrete-Time Systems in the Transform Domain

8 Digital Filter Structures

9 IIR Digital Filter Design

10 FIR Digital Filter Design

11 DSP Algorithm Implementation

12 Analysis of Finite Wordlength Effects

13 Multirate Digital Signal Processing Fundamentals

14 Multirate Filter Banks and Wavelets
Appendix A: Analog Lowpass Filter Design
Appendix B: Design of Analog Highpass, Bandpass, and Bandstop Filters
Appendix C: Discrete-Time Random Signals
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