Algorithms for Discrete Fourier Transform and Convolution:
This book is based on several courses taught during the last five years at the City College of the City University of New York and at Fudan University, Shanghai, China in the Summer, 1986. It was originally our intention to present to a mixed audience of electrical engineers, mathematicians and comp...
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Beteiligte Personen: | , , |
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Weitere beteiligte Personen: | |
Format: | Elektronisch E-Book |
Sprache: | Englisch |
Veröffentlicht: |
New York, NY
Springer New York
1989
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Schriftenreihe: | Signal Processing and Digital Filtering
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Schlagwörter: | |
Links: | https://doi.org/10.1007/978-1-4757-3854-4 https://doi.org/10.1007/978-1-4757-3854-4 |
Zusammenfassung: | This book is based on several courses taught during the last five years at the City College of the City University of New York and at Fudan University, Shanghai, China in the Summer, 1986. It was originally our intention to present to a mixed audience of electrical engineers, mathematicians and computer scientists at the graduate level, a collection of algorithms which would serve to represent the vast array of algorithms designed over the last twenty years for com puting the finite Fourier transform (FFT) and finite convolution. However, it was soon apparent that the scope of the course had to be greatly expanded. For researchers interested in the design of new algorithms, a deeper understanding of the basic mathematical con cepts underlying algorithm design was essential. At the same time, a large gap remained between the statement of an algorithm and the implementation of the algorithm. The main goal of this text is to describe tools which can serve both of these needs. In fact, it is our belief that certain mathematical ideas provide a natural lan guage and culture for understanding, unifying and implementing a wide range of digital signal processing (DSP) algorithms. This belief is reenforced by the complex and time-consumming effort required to write code for recently available parallel and vector machines. A significant part of this text is devoted to establishing rules and precedures which reduce and at times automate this task. In Chapter 1, a survey is given of basic algebra |
Umfang: | 1 Online-Ressource (XV, 350 p. 1 illus) |
ISBN: | 9781475738544 |
DOI: | 10.1007/978-1-4757-3854-4 |
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Datensatz im Suchindex
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any_adam_object | |
author | Tolimieri, R. An, Myoung Lu, Chao |
author2 | Burrus, C. S. |
author2_role | edt |
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author_facet | Tolimieri, R. An, Myoung Lu, Chao Burrus, C. S. |
author_role | aut aut aut |
author_sort | Tolimieri, R. |
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bvnumber | BV045186656 |
collection | ZDB-2-ENG |
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dewey-full | 621.382 |
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dewey-ones | 621 - Applied physics |
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dewey-search | 621.382 |
dewey-sort | 3621.382 |
dewey-tens | 620 - Engineering and allied operations |
discipline | Elektrotechnik / Elektronik / Nachrichtentechnik |
doi_str_mv | 10.1007/978-1-4757-3854-4 |
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record_format | marc |
series2 | Signal Processing and Digital Filtering |
spelling | Tolimieri, R. Verfasser aut Algorithms for Discrete Fourier Transform and Convolution by R. Tolimieri, Myoung An, Chao Lu ; edited by C. S. Burrus New York, NY Springer New York 1989 1 Online-Ressource (XV, 350 p. 1 illus) txt rdacontent c rdamedia cr rdacarrier Signal Processing and Digital Filtering This book is based on several courses taught during the last five years at the City College of the City University of New York and at Fudan University, Shanghai, China in the Summer, 1986. It was originally our intention to present to a mixed audience of electrical engineers, mathematicians and computer scientists at the graduate level, a collection of algorithms which would serve to represent the vast array of algorithms designed over the last twenty years for com puting the finite Fourier transform (FFT) and finite convolution. However, it was soon apparent that the scope of the course had to be greatly expanded. For researchers interested in the design of new algorithms, a deeper understanding of the basic mathematical con cepts underlying algorithm design was essential. At the same time, a large gap remained between the statement of an algorithm and the implementation of the algorithm. The main goal of this text is to describe tools which can serve both of these needs. In fact, it is our belief that certain mathematical ideas provide a natural lan guage and culture for understanding, unifying and implementing a wide range of digital signal processing (DSP) algorithms. This belief is reenforced by the complex and time-consumming effort required to write code for recently available parallel and vector machines. A significant part of this text is devoted to establishing rules and precedures which reduce and at times automate this task. In Chapter 1, a survey is given of basic algebra Engineering Communications Engineering, Networks Algorithm Analysis and Problem Complexity Algorithms Electrical engineering Faltung Mathematik (DE-588)4141470-6 gnd rswk-swf Tensorprodukt (DE-588)4059478-6 gnd rswk-swf Digitale Signalverarbeitung (DE-588)4113314-6 gnd rswk-swf Fourier-Transformation (DE-588)4018014-1 gnd rswk-swf Diskrete Fourier-Transformation (DE-588)4150175-5 gnd rswk-swf Datenverarbeitung (DE-588)4011152-0 gnd rswk-swf Algorithmus (DE-588)4001183-5 gnd rswk-swf 1\p (DE-588)4143389-0 Aufgabensammlung gnd-content Digitale Signalverarbeitung (DE-588)4113314-6 s Algorithmus (DE-588)4001183-5 s Tensorprodukt (DE-588)4059478-6 s 2\p DE-604 Fourier-Transformation (DE-588)4018014-1 s Datenverarbeitung (DE-588)4011152-0 s 3\p DE-604 Faltung Mathematik (DE-588)4141470-6 s 4\p DE-604 5\p DE-604 Diskrete Fourier-Transformation (DE-588)4150175-5 s 6\p DE-604 An, Myoung aut Lu, Chao aut Burrus, C. S. edt Erscheint auch als Druck-Ausgabe 9781475738568 https://doi.org/10.1007/978-1-4757-3854-4 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 3\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 4\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 5\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 6\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Tolimieri, R. An, Myoung Lu, Chao Algorithms for Discrete Fourier Transform and Convolution Engineering Communications Engineering, Networks Algorithm Analysis and Problem Complexity Algorithms Electrical engineering Faltung Mathematik (DE-588)4141470-6 gnd Tensorprodukt (DE-588)4059478-6 gnd Digitale Signalverarbeitung (DE-588)4113314-6 gnd Fourier-Transformation (DE-588)4018014-1 gnd Diskrete Fourier-Transformation (DE-588)4150175-5 gnd Datenverarbeitung (DE-588)4011152-0 gnd Algorithmus (DE-588)4001183-5 gnd |
subject_GND | (DE-588)4141470-6 (DE-588)4059478-6 (DE-588)4113314-6 (DE-588)4018014-1 (DE-588)4150175-5 (DE-588)4011152-0 (DE-588)4001183-5 (DE-588)4143389-0 |
title | Algorithms for Discrete Fourier Transform and Convolution |
title_auth | Algorithms for Discrete Fourier Transform and Convolution |
title_exact_search | Algorithms for Discrete Fourier Transform and Convolution |
title_full | Algorithms for Discrete Fourier Transform and Convolution by R. Tolimieri, Myoung An, Chao Lu ; edited by C. S. Burrus |
title_fullStr | Algorithms for Discrete Fourier Transform and Convolution by R. Tolimieri, Myoung An, Chao Lu ; edited by C. S. Burrus |
title_full_unstemmed | Algorithms for Discrete Fourier Transform and Convolution by R. Tolimieri, Myoung An, Chao Lu ; edited by C. S. Burrus |
title_short | Algorithms for Discrete Fourier Transform and Convolution |
title_sort | algorithms for discrete fourier transform and convolution |
topic | Engineering Communications Engineering, Networks Algorithm Analysis and Problem Complexity Algorithms Electrical engineering Faltung Mathematik (DE-588)4141470-6 gnd Tensorprodukt (DE-588)4059478-6 gnd Digitale Signalverarbeitung (DE-588)4113314-6 gnd Fourier-Transformation (DE-588)4018014-1 gnd Diskrete Fourier-Transformation (DE-588)4150175-5 gnd Datenverarbeitung (DE-588)4011152-0 gnd Algorithmus (DE-588)4001183-5 gnd |
topic_facet | Engineering Communications Engineering, Networks Algorithm Analysis and Problem Complexity Algorithms Electrical engineering Faltung Mathematik Tensorprodukt Digitale Signalverarbeitung Fourier-Transformation Diskrete Fourier-Transformation Datenverarbeitung Algorithmus Aufgabensammlung |
url | https://doi.org/10.1007/978-1-4757-3854-4 |
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