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Introductory Digital Signal Processing with Computer Applications. Edition No. 2

  • ID: 2182658
  • Book
  • April 1998
  • 496 Pages
  • John Wiley and Sons Ltd
"An excellent introductory book" (Review of the First Edition in the International Journal of Electrical Engineering Education)

" it will serve as a reference book in this area for a long time" (Review of Revised Edition in Zentralblatt für Mathematik (Germany))

Firmly established as the essential introductory Digital Signal Processing (DSP) text, this second edition reflects the growing importance of random digital signals and random DSP in the undergraduate syllabus by including two new chapters. The authors' practical, problem-solving approach to DSP continues in this new material, which is backed up by additional worked examples and computer programs.

The book now features:

fundamentals of digital signals and systems

time and frequency domain analysis and processing, including digital convolution and the Discrete and Fast Fourier Transforms

design and practical application of digital filters

description and processing of random signals, including correlation, filtering, and the detection of signals in noise

Programs in C and equivalent PASCAL are listed in an Appendix. Typical results and graphic plots from all the programs are illustrated and discussed in the main text. The overall approach assumes no prior knowledge of electronics, computing, or DSP.

An ideal text for undergraduate students in electrical, electronic and other branches of engineering, computer science, applied mathematics and physics. Practising engineers and scientists will also find this a highly accessible introduction to an increasingly important field.
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Time-Domain Analysis.

Frequency-Domain Analysis: The Discrete Fourier Series and the Fourier Transform.

Frequency-Domain Analysis: the z-Transform.

Design of Nonrecursive Digital Filters.

Design of Recursive Digital Filters.

The Discrete and Fast Fourier Transforms.

FFT Processing.

Random Digital Signals.

Random DSP.


Answers to Selected Problems.


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Paul A. Lynn Formerly Imperial College of Science, Technology and Medicine, University of London, UK.

Wolfgang Fuerst Information Management Services, United Nations, New York.
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