A Students Guide to Fourier Transforms

A Student's Guide to Fourier Transforms (2nd ed.)
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Análisis Matemático

This new edition has been revised to include new and interesting material, such as convolution with a sinusoid, coherence, the Michelson stellar interferometer and the van Cittert-Zernike theorem, Babinet's principle and dipole arrays. From previous editions: 'It is the wide range of topics that makes this book so appealing I highly recommend this book for the advanced student Even the expert who wants a deeper appreciation of the Fourier transform will find the book useful. Help Centre. My Wishlist Sign In Join.

A Student's Guide to Fourier Transforms With Applications in Physics and Engineering by J.F. James

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Link Either by signing into your account or linking your membership details before your order is placed. Description Table of Contents Product Details Click on the cover image above to read some pages of this book!

Análisis Matemático

Industry Reviews From previous editions: 'It is the wide range of topics that makes this book so appealing Preface to the first edition p. All Rights Reserved.

  • ISBN 13: 9780521176835.
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A STUDENT'S GUIDE TO FOURIER TRANSFORMS

Add to Wishlist Add to Wishlist. Fourier transform theory is of central importance in a vast range of applications in physical science, engineering, and applied mathematics. This new edition of a successful student text provides a concise introduction to the theory and practice of Fourier transforms, using qualitative arguments wherever possible and avoiding unnecessary mathematics.

But what is the Fourier Transform? A visual introduction.

After a brief description of the basic ideas and theorems, the power of the technique is then illustrated by referring to particular applications in optics, spectroscopy, electronics and telecommunications. The rarely discussed but important field of multi-dimensional Fourier theory is covered, including a description of computer-aided tomography CAT-scanning.

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The final chapter discusses digital methods, with particular attention to the fast Fourier transform.