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Fourier analysis--a signal processing approach

Record Type:	Electronic resources : Monograph/item
Title/Author:	Fourier analysis--a signal processing approachby D. Sundararajan.
Author:	Sundararajan, D.
Published:	Singapore :Springer Singapore :2018.
Description:	xv, 359 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Fourier analysis.
Online resource:	http://dx.doi.org/10.1007/978-981-13-1693-7
ISBN:	9789811316937$q(electronic bk.)

Fourier analysis--a signal processing approach
Sundararajan, D.

Fourier analysis--a signal processing approach[electronic resource] /by D. Sundararajan. - Singapore :Springer Singapore :2018. - xv, 359 p. :ill., digital ;24 cm.

Preface -- Signals -- The Discrete Fourier Transform -- Properties of the DFT -- Two-Dimensional DFT -- Convolution and Correlation -- Aliasing and Leakage -- Fourier Series -- The Discrete-Time Fourier Transform -- The Fourier Transform -- Fast Computation of the DFT -- A Transform Pairs and Properties -- B Useful Mathematical Formulas -- Bibliography -- Answers to Selected Exercises -- Index.

This book sheds new light on Transform methods, which dominate the study of linear time-invariant systems in all areas of science and engineering, such as circuit theory, signal/image processing, communications, controls, vibration analysis, remote sensing, biomedical systems, optics and acoustics. It presents Fourier analysis primarily using physical explanations with waveforms and/or examples, only using mathematical formulations to the extent necessary for its practical use. Intended as a textbook for senior undergraduates and graduate level Fourier analysis courses in engineering and science departments, and as a supplementary textbook for a variety of application courses in science and engineering, the book is also a valuable reference for anyone - student or professional - specializing in practical applications of Fourier analysis. The prerequisite for reading this book is a sound understanding of calculus, linear algebra, signals and systems, and programming at the undergraduate level.

ISBN: 9789811316937$q(electronic bk.)

Standard No.: 10.1007/978-981-13-1693-7doiSubjects--Topical Terms:

184626
Fourier analysis.

LC Class. No.: QA403.5

Dewey Class. No.: 515.2433

Fourier analysis--a signal processing approach
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245 1 0 $a Fourier analysis--a signal processing approach $h [electronic resource] / $c by D. Sundararajan.
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300 $a xv, 359 p. : $b ill., digital ; $c 24 cm.
505 0 $a Preface -- Signals -- The Discrete Fourier Transform -- Properties of the DFT -- Two-Dimensional DFT -- Convolution and Correlation -- Aliasing and Leakage -- Fourier Series -- The Discrete-Time Fourier Transform -- The Fourier Transform -- Fast Computation of the DFT -- A Transform Pairs and Properties -- B Useful Mathematical Formulas -- Bibliography -- Answers to Selected Exercises -- Index.
520 $a This book sheds new light on Transform methods, which dominate the study of linear time-invariant systems in all areas of science and engineering, such as circuit theory, signal/image processing, communications, controls, vibration analysis, remote sensing, biomedical systems, optics and acoustics. It presents Fourier analysis primarily using physical explanations with waveforms and/or examples, only using mathematical formulations to the extent necessary for its practical use. Intended as a textbook for senior undergraduates and graduate level Fourier analysis courses in engineering and science departments, and as a supplementary textbook for a variety of application courses in science and engineering, the book is also a valuable reference for anyone - student or professional - specializing in practical applications of Fourier analysis. The prerequisite for reading this book is a sound understanding of calculus, linear algebra, signals and systems, and programming at the undergraduate level.
650 0 $a Fourier analysis. $3 184626
650 0 $a Signal processing $x Mathematics. $3 183873
650 1 4 $a Computer Science. $3 212513
650 2 4 $a Discrete Mathematics in Computer Science. $3 274791
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950 $a Computer Science (Springer-11645)