Fourier Transformation for Signal and System Description
eBook - ePub

Fourier Transformation for Signal and System Description

Compact, Visual, Intuitively Understandable

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Fourier Transformation for Signal and System Description

Compact, Visual, Intuitively Understandable

About this book

The authors explain the Fourier transform and its technical applications, especially in signal and system theory. Based on their many years of teaching experience, they aim at helping especially STEM (science, technology, engineering, and mathematics) students as well as graduated professionals to better understand the subject. The authors also point out the importance of a deeper understanding, as all modern digital technologies such as sound and image recording and storage, radio and television, mobile telephony, signal transmission for the Internet, modern control techniques for vehicles or aircrafts – are largely based on the Fourier transform.

The Authors

Prof. Dr.-Ing. habil. Jörg Lange held a leading position in the development area of mobile communications in a large technology company.

Prof. Dr.-Ing. Tatjana Lange taught control systems engineering at Merseburg University of Applied Sciences and is still active in research in the area of classification and cluster analysis.

This Springer essential is a translation of the original German 1st edition essentials, Fourier-Transformation zur Signal- und Systembeschreibung by Jörg Lange and Tatjana Lange, published by Springer Fachmedien Wiesbaden GmbH, part of Springer Nature in 2019. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation. Springer Nature works continuously to further the development of tools for the production of books and on the related technologies to support the authors.


Information

Publisher
Springer
Year
2022
Print ISBN
9783658338169
eBook ISBN
9783658338176

Table of contents

  1. Cover
  2. Front Matter
  3. 1. Introduction
  4. 2. About Sine, Cosine, and Other Periodic Functions
  5. 3. Fourier Series
  6. 4. From the Fourier Series to the Fourier Integral
  7. 5. The Fourier Transformation of Standard Signals
  8. 6. Properties of the Fourier Transform and Approximation Relations
  9. 7. The Fourier Transformation as a Tool for the Description of Signals and Systems
  10. 8. Application of the Fourier Transform to Stochastic Signals
  11. 9. Optimal Receive Filter (Wiener Filter)
  12. Back Matter

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