1.

Record Nr.

UNINA9910299299803321

Autore

Sundararajan D

Titolo

Fourier Analysis—A Signal Processing Approach [[electronic resource] /] / by D. Sundararajan

Pubbl/distr/stampa

Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018

ISBN

981-13-1693-7

978-981-13-1693-7

Edizione

[1st ed. 2018.]

Descrizione fisica

1 online resource (XV, 359 p. 108 illus.)

Disciplina

929.605

Soggetti

Computer science—Mathematics

Computer communication systems

Discrete Mathematics in Computer Science

Computer Communication Networks

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references & index.

Nota di contenuto

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.

Sommario/riassunto

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.