Signal Analysis: Time, Frequency, Scale, and Structure

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John Wiley & Sons, Jun 7, 2004 - Technology & Engineering - 500 pages
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  • Offers a well-rounded, mathematical approach to problems in signal interpretation using the latest time, frequency, and mixed-domain methods
  • Equally useful as a reference, an up-to-date review, a learning tool, and a resource for signal analysis techniques
  • Provides a gradual introduction to the mathematics so that the less mathematically adept reader will not be overwhelmed with instant hard analysis
  • Covers Hilbert spaces, complex analysis, distributions, random signals, analog Fourier transforms, and more
 

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Contents

2 Discrete Systems and Signal Spaces
109
3 Analog Systems and Signal Spaces
173
4 TimeDomain Signal Analysis
273
5 Fourier Transforms of Analog Signals
383
6 Generalized Fourier Transforms of Analog Signals
440
7 Discrete Fourier Transforms
482
8 The zTransform
554
9 FrequencyDomain Signal Analysis
585
10 TimeFrequency Signal Transforms
712
11 TimeScale Signal Transforms
802
12 MixedDomain Signal Analysis
873
Index
929
Copyright

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Page i - IEEE Press 445 Hoes Lane Piscataway, NJ 08854 IEEE Press Editorial Board Stamatios V. Kartalopoulos, Editor in Chief M. Akay ME El-Hawary M. Padgett JB Anderson RJ Herrick WD Reeve RJ Baker D. Kirk S. Tewksbury JE Brewer R.

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About the author (2004)

RONALD L. ALLEN received his BA in mathematics from the University of California, Berkeley in 1973, his MA in mathematics from the University of California, Los Angeles in 1975, and his MS and PhD in Computer Science from the University of Texas at Arlington in 1990 and 1993, respectively.

DUNCAN W. MILLS received his BA in Physics from Wesleyan University, his MS in Electrical Engineering from George Washington University, and his PhD in Electrical Engineering from University of Texas at Dallas in 1992.

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