The handbook of formulas and tables for signal processing

Bibliographic Information

The handbook of formulas and tables for signal processing

Alexander D. Poularikas

(The electrical engineering handbook series)

CRC Press , Springer, c1999

  • : us
  • : gw(Springer)

Available at  / 24 libraries

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Includes index

Description and Table of Contents

Volume

ISBN 9780780347281

Description

This book examines theories and applications of signal and image processing, compiling the essential equations for this field in one volume. Topics include filtering, coding, transmitting, estimating, detecting, analyzing, recognizing, synthesizing, recording, and reproducing signals.
Volume

: us ISBN 9780849385797

Description

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. The 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.
Volume

: gw(Springer) ISBN 9783540648345

Description

This book serves as an essential reference for all engineers involved in signal and image processing. It examines the theories and applications of signal processing in filtering, coding, transmitting, estimating, detecting, analysing, recognising, and reproducing signals.

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. The 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.

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