Abstract
In this paper, recursive fast Fourier transform is presented for twodimensional signals. When applying to real-time analysis, the computational efficiency is highly improved by integrating a recursive procedure. The recursive procedure highly reduces the number of complex arithmetic operations, and provide detailed spectral analysis for one or two-dimensional signals. In the first stage, the recursive algorithm is realized for one-dimensional signals. Then, recursive fast Fourier transform is presented for two-dimensional signals. The advantages of the recursive algorithm are presented by giving examples for one and two-dimensional signals.
| Original language | English |
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| Title of host publication | Intelligent Data Engineering and Automated Learning - IDEAL 2002 - 3rd International Conference, Proceedings |
| Editors | Hujun Yin, Nigel Allinson, Richard Freeman, John Keane, Simon Hubbard |
| Publisher | Springer Verlag |
| Pages | 551-556 |
| Number of pages | 6 |
| ISBN (Print) | 9783540440253 |
| DOIs | |
| Publication status | Published - 2002 |
| Event | 3rd International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2002 - Manchester, United Kingdom Duration: 12 Aug 2002 → 14 Aug 2002 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 2412 |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Conference
| Conference | 3rd International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2002 |
|---|---|
| Country/Territory | United Kingdom |
| City | Manchester |
| Period | 12/08/02 → 14/08/02 |
Bibliographical note
Publisher Copyright:© Springer-Verlag Berlin Heidelberg 2002.