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10 years of 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.
|Call for Nominations for Editor-in-Chief: IEEE Open Journal of Signal Processing||1 August 2019|
|Nominations Open for 2019 SPS Awards||1 September 2019|
|Call for Nominations: Technical Committee Vice Chair and Member Positions||15 September 2019|
|Call for Nominations: Awards Board and Nominations and Appointments Committee||27 September 2019|
|Election of President-Elect, Regional Directors-at-Large and Members-at-Large||1 October 2019|
|Call for Nominations: SPS Chapter of the Year Award||15 October 2019|
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