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News and Resources for Members of the IEEE Signal Processing Society
The Fast S-Transform (FST) is a new algorithm for solving the S-Transform with significantly reduced time and complexity. Software packages implementing the FST are now available for download at Sourceforge. The FST is currently available for both C and Python.
Developed by Drs. Robb Brown, Richard Frayne, and Louis Lauzon of the University of Calgary, the FST software calculates the S-Transform with O(NlogN) complexity and requires only O(N) storage space. It will transform in less than a second data sets that previously would have required over 3 days. The FST was originally published in the paper “A General Description of Linear Time-Frequency Transforms and Formulation of a Fast, Invertible Transform the Samples the Continuous S-Transform Spectrum Nonredundantly”, IEEE Transactions on Signal Processing, vol. 58, pp. 281-290, Jan 2010.
For more information, please click here, or to download the FST in either C or Python, please visit the project page at http://sourceforge.net/projects/fst-uofc/.
Nomination/Position | Deadline |
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Call for Proposals: 2025 Cycle 1 Seasonal Schools & Member Driven Initiatives in Signal Processing | 17 November 2024 |
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Nominate an IEEE Fellow Today! | 7 February 2025 |
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