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Handbook of Formulas and Tables for Signal Processing: 1st Edition (Hardback) book cover

Handbook of Formulas and Tables for Signal Processing

1st Edition

Edited by Alexander D. Poularikas

CRC Press

864 pages

Purchasing Options:$ = USD
Hardback: 9780849385797
pub: 1998-09-29
eBook (VitalSource) : 9781315219707
pub: 2018-10-08
from $110.00

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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.

  • 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

    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


    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



    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



    About the Series

    Electrical Engineering Handbook

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