Fourier Transforms: An Introduction for Engineers
The Fourier transform is one of the most important mathematical tools in a wide variety of fields in science and engineering. In the abstract it can be viewed as the transformation of a signal in one domain (typically time or space) into another domain, the frequency domain. Applications of Fourier...
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Hauptverfasser: | , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Boston, MA
Springer US
1995
|
Schriftenreihe: | The Springer International Series in Engineering and Computer Science
322 |
Schlagworte: | |
Online-Zugang: | BTU01 Volltext |
Zusammenfassung: | The Fourier transform is one of the most important mathematical tools in a wide variety of fields in science and engineering. In the abstract it can be viewed as the transformation of a signal in one domain (typically time or space) into another domain, the frequency domain. Applications of Fourier transforms, often called Fourier analysis or harmonic analysis, provide useful decompositions of signals into fundamental or "primitive" components, provide shortcuts to the computation of complicated sums and integrals, and often reveal hidden structure in data. Fourier analysis lies at the base of many theories of science and plays a fundamental role in practical engineering design. The origins of Fourier analysis in science can be found in Ptolemy's decomposing celestial orbits into cycles and epicycles and Pythagorus' de composing music into consonances. Its modern history began with the eighteenth century work of Bernoulli, Euler, and Gauss on what later came to be known as Fourier series. J. Fourier in his 1822 Theorie analytique de la Chaleur [16] (still available as a Dover reprint) was the first to claim that arbitrary periodic functions could be expanded in a trigonometric (later called a Fourier) series, a claim that was eventually shown to be incorrect, although not too far from the truth. It is an amusing historical sidelight that this work won a prize from the French Academy, in spite of serious concerns expressed by the judges (Laplace, Lagrange, and Legendre) re garding Fourier's lack of rigor |
Beschreibung: | 1 Online-Ressource (XX, 361 p) |
ISBN: | 9781461523598 |
DOI: | 10.1007/978-1-4615-2359-8 |
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520 | |a The Fourier transform is one of the most important mathematical tools in a wide variety of fields in science and engineering. In the abstract it can be viewed as the transformation of a signal in one domain (typically time or space) into another domain, the frequency domain. Applications of Fourier transforms, often called Fourier analysis or harmonic analysis, provide useful decompositions of signals into fundamental or "primitive" components, provide shortcuts to the computation of complicated sums and integrals, and often reveal hidden structure in data. Fourier analysis lies at the base of many theories of science and plays a fundamental role in practical engineering design. The origins of Fourier analysis in science can be found in Ptolemy's decomposing celestial orbits into cycles and epicycles and Pythagorus' de composing music into consonances. Its modern history began with the eighteenth century work of Bernoulli, Euler, and Gauss on what later came to be known as Fourier series. J. Fourier in his 1822 Theorie analytique de la Chaleur [16] (still available as a Dover reprint) was the first to claim that arbitrary periodic functions could be expanded in a trigonometric (later called a Fourier) series, a claim that was eventually shown to be incorrect, although not too far from the truth. It is an amusing historical sidelight that this work won a prize from the French Academy, in spite of serious concerns expressed by the judges (Laplace, Lagrange, and Legendre) re garding Fourier's lack of rigor | ||
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650 | 4 | |a Engineering | |
650 | 4 | |a Electrical engineering | |
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author | Gray, Robert M. Goodman, Joseph W. |
author_facet | Gray, Robert M. Goodman, Joseph W. |
author_role | aut aut |
author_sort | Gray, Robert M. |
author_variant | r m g rm rmg j w g jw jwg |
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collection | ZDB-2-ENG |
ctrlnum | (ZDB-2-ENG)978-1-4615-2359-8 (OCoLC)1053794236 (DE-599)BVBBV045185345 |
dewey-full | 621.3815 |
dewey-hundreds | 600 - Technology (Applied sciences) |
dewey-ones | 621 - Applied physics |
dewey-raw | 621.3815 |
dewey-search | 621.3815 |
dewey-sort | 3621.3815 |
dewey-tens | 620 - Engineering and allied operations |
discipline | Elektrotechnik / Elektronik / Nachrichtentechnik |
doi_str_mv | 10.1007/978-1-4615-2359-8 |
format | Electronic eBook |
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indexdate | 2024-07-10T08:10:55Z |
institution | BVB |
isbn | 9781461523598 |
language | English |
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spelling | Gray, Robert M. Verfasser aut Fourier Transforms An Introduction for Engineers by Robert M. Gray, Joseph W. Goodman Boston, MA Springer US 1995 1 Online-Ressource (XX, 361 p) txt rdacontent c rdamedia cr rdacarrier The Springer International Series in Engineering and Computer Science 322 The Fourier transform is one of the most important mathematical tools in a wide variety of fields in science and engineering. In the abstract it can be viewed as the transformation of a signal in one domain (typically time or space) into another domain, the frequency domain. Applications of Fourier transforms, often called Fourier analysis or harmonic analysis, provide useful decompositions of signals into fundamental or "primitive" components, provide shortcuts to the computation of complicated sums and integrals, and often reveal hidden structure in data. Fourier analysis lies at the base of many theories of science and plays a fundamental role in practical engineering design. The origins of Fourier analysis in science can be found in Ptolemy's decomposing celestial orbits into cycles and epicycles and Pythagorus' de composing music into consonances. Its modern history began with the eighteenth century work of Bernoulli, Euler, and Gauss on what later came to be known as Fourier series. J. Fourier in his 1822 Theorie analytique de la Chaleur [16] (still available as a Dover reprint) was the first to claim that arbitrary periodic functions could be expanded in a trigonometric (later called a Fourier) series, a claim that was eventually shown to be incorrect, although not too far from the truth. It is an amusing historical sidelight that this work won a prize from the French Academy, in spite of serious concerns expressed by the judges (Laplace, Lagrange, and Legendre) re garding Fourier's lack of rigor Engineering Circuits and Systems Signal, Image and Speech Processing Electrical Engineering Electrical engineering Electronic circuits Fourier-Transformation (DE-588)4018014-1 gnd rswk-swf Fourier-Transformation (DE-588)4018014-1 s 1\p DE-604 Goodman, Joseph W. aut Erscheint auch als Druck-Ausgabe 9781461360018 https://doi.org/10.1007/978-1-4615-2359-8 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Gray, Robert M. Goodman, Joseph W. Fourier Transforms An Introduction for Engineers Engineering Circuits and Systems Signal, Image and Speech Processing Electrical Engineering Electrical engineering Electronic circuits Fourier-Transformation (DE-588)4018014-1 gnd |
subject_GND | (DE-588)4018014-1 |
title | Fourier Transforms An Introduction for Engineers |
title_auth | Fourier Transforms An Introduction for Engineers |
title_exact_search | Fourier Transforms An Introduction for Engineers |
title_full | Fourier Transforms An Introduction for Engineers by Robert M. Gray, Joseph W. Goodman |
title_fullStr | Fourier Transforms An Introduction for Engineers by Robert M. Gray, Joseph W. Goodman |
title_full_unstemmed | Fourier Transforms An Introduction for Engineers by Robert M. Gray, Joseph W. Goodman |
title_short | Fourier Transforms |
title_sort | fourier transforms an introduction for engineers |
title_sub | An Introduction for Engineers |
topic | Engineering Circuits and Systems Signal, Image and Speech Processing Electrical Engineering Electrical engineering Electronic circuits Fourier-Transformation (DE-588)4018014-1 gnd |
topic_facet | Engineering Circuits and Systems Signal, Image and Speech Processing Electrical Engineering Electrical engineering Electronic circuits Fourier-Transformation |
url | https://doi.org/10.1007/978-1-4615-2359-8 |
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