Handbook of Formulas and Tables for Signal Processing

Series:
Electrical Engineering Handbook
Published:
September 29, 1998 by CRC Press - 864 Pages
Editor(s):
Alexander D. Poularikas, The University of Alabama, Huntsville, USA

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Hardback
$189.95
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ISBN 9780849385797
Cat# 8579
 

Features

  • Compiles all equations necessary for signal and image processing into one edition
  • Summarizes theories and applications related to signal and image processing
  • Provides thorough examples of equations and definitions, illustrating the given formulas
  • Offers an immediate reference for essential formulas and tables
  • Applies to many engineering disciplines, including electrical engineering, computer engineering, mechanical engineering, and biomedical engineering

    • Summary

    Signal processing is a broad and timeless area. The term "signal" includes audio, video, speech, image, communication, geophysical, sonar, radar, medical, and more. Signal processing applies to the theory and application of filtering, coding, transmitting, estimating, detecting, analyzing, recognizing, synthesizing, recording, and reproducing signals.
    Handbook of Formulas and Tables for Signal Processing a must-have reference for all engineering professionals involved in signal and image processing. Collecting the most useful formulas and tables - such as integral tables, formulas of algebra, formulas of trigonometry - the text includes:

  • Material for the deterministic and statistical signal processing areas
  • Examples explaining the use of the given formula
  • Numerous definitions
  • Many figures that have been added to special chapters
    Handbook of Formulas and Tables for Signal Processing brings together - in one textbook - all the equations necessary for signal and image processing for professionals transforming anything from a physical to a manipulated form, creating a new standard for any person starting a future in the broad, extensive area of research.

    • Table of Contents

    Fourier Series
    The Laplace Transform
    One-Dimensional Continuous Fourier Transform
    Discrete-Time Fourier Transform
    The Delta Function
    The One-Dimension Z Transform
    Windows
    Two-Dimensional Z Transform
    Analytical Methods
    Signals and Their Representation
    Discrete Fourier Transform
    Analog Filter Approximations
    Sine and Cosine Transforms
    The Hartley Transform
    he Hilbert Transform
    The Radon and Abel Transforms
    The Hankel Transform
    The Mellin Transform
    Time-Frequency Transformations
    Complex Variable Analysis
    Legendre Polynomials
    Hermite Polynomials
    Laguere Polynomials
    Chebyshev Polynomials
    Bessel Functions
    Zernike Polynomials
    Special Functions
    Asymptotic Expansions
    Non-Recursive Filters
    Recursive Filters
    Recursive Filters Satisfying Prescribed Specifications
    Statistics
    Matrices
    Random Variables and Stochastic Processes
    Random Digital Signal Processing
    Spectral Estimation of Random Discrete Signals
    Adaptive Filters
    Band-Limited Functions and Sampling Theorem
    Higher-Order Statistical Analysis
    Stochastic Simulations
    Nonlinear Digital Filtering
    Wavelet Transforms
    Trigonometric and Hyperbolic Functions
    Algebra
    Calculus

    Editorial Reviews

    "One striking feature of this handbook is its concise yet comprehensive coverage of all equations necessary for signal and image processing, and theoretical yet practical illustrations of how to use these equations through numerous tables, graphics and examples… a valuable reference book.
    -Anna W. Ren, E-Streams, December 1999

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