Digital Signal Processing: A Computer Based Approach

Digital Signal Processing: A Computer Based Approach

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By (author) Sanjit K. Mitra

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  • Publisher: McGraw Hill Higher Education
  • Format: Mixed media product | 972 pages
  • Dimensions: 204mm x 242mm x 35mm | 1,498g
  • Publication date: 1 July 2012
  • Publication City/Country: London
  • ISBN 10: 0071289461
  • ISBN 13: 9780071289467
  • Edition: 4
  • Edition statement: 4th International edition
  • Sales rank: 396,726

Product description

"Digital Signal Processing: A Computer-Based Approach" is intended for a two-semester course on digital signal processing for seniors or first-year graduate students. The prerequisite for this book is a junior-level course in linear continuous-time and discrete-time systems, which is usually required in most universities. 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. Practical examples and applications bring the theory to life. This popular book introduces the tools used in the analysis and design of discrete-time systems for signal processing.

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Author information

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.

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