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The Fourier Transform: A Tutorial Introduction

by James V. Stone

A visual introduction to Fourier analysis

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AlbakiReads Editorial

A visual introduction to Fourier analysis

James V. Stone’s concise guide brings together the mathematics behind Fourier analysis and examples of how to apply it. More than 60 diagrams support the explanations, while simple exercises in Python and Matlab connect the concepts with computation. The book also includes a glossary and annotated further reading, making it a self-contained starting point for exploring a mathematical tool used across the physical sciences, including communications, electronics, engineering, biophysics, and quantum mechanics.

Good fit for readers who enjoy

  • Readers seeking an introductory account of the Fourier transform and its mathematics.
  • Learners who value diagrams alongside practical Python or Matlab examples.
  • Those exploring applications of Fourier analysis across physical-science fields.

Themes

Fourier analysis and its mathematical foundationsComputational examples in Python and MatlabApplications across the physical sciences

Based on publisher information and book metadata.

Book overview

The Fourier transform is a fundamental tool in the physical sciences, with applications in communications theory, electronics, engineering, biophysics and quantum mechanics. In this brief book, the essential mathematics required to understand and apply Fourier analysis is explained. The tutorial style of writing, combined with over 60 diagrams, offers a visually intuitive and rigorous account of Fourier methods. Hands-on experience is provided in the form of simple examples, written in Python and Matlab computer code. Supported by a comprehensive Glossary and an annotated list of Further Readings, this represents an ideal introduction to the Fourier transform.

 

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