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Published by Tutorial Introductions 4/11/2021, 2021
ISBN 10: 1916279147 ISBN 13: 9781916279148
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ISBN 10: 1916279147 ISBN 13: 9781916279148
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ISBN 10: 1916279147 ISBN 13: 9781916279148
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Add to basketKartoniert / Broschiert. Condition: New. Über den AutorJames V Stone is an Honorary Associated Professor at the University of Sheffield, UK.KlappentextrnrnThe Fourier transform is a fundamental tool in the physical sciences, with applications in communi.
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ISBN 10: 1916279147 ISBN 13: 9781916279148
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ISBN 10: 1916279147 ISBN 13: 9781916279148
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ISBN 10: 1916279147 ISBN 13: 9781916279148
Language: English
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.
Published by Tutorial Introductions, 2021
ISBN 10: 1916279155 ISBN 13: 9781916279155
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Add to basketBuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.