New S-Transform algorithm reaches 500 downloads
Thursday, May 17, 2012
The Fast S-Transform (FST), a novel algorithm that has the potential to significantly reduce computation time from days to seconds, has reached more than 500 downloads since being made available under an open source license in March 2011.
Developed by University of Calgary researchers, the FST has several areas of applications including; medical imaging such as detecting anomalies in the heart, and identifying abnormalities in brain tumours, as well as detecting disturbances in power networks, monitoring wind patterns and detecting gravitational waves.
Working with Innovate Calgary, the Fast S-Transform is available to the research community under an open source license. Packages to use the FST in C and Python can be downloaded from Sourceforge at http://sourceforge.net/projects/fst-uofc.
For more information, contact Robert Carruthers, Licensing Manager, at 403.270.2446 or email@example.com