Greg Buzzard: Software
Miscellaneous
A tutorial on CT reconstruction using high dynamic range images and a realistic noise model:
CT Tutorial
An information guide for using Purdue's compute clusters:
Cluster Guide
Sensitivity Analysis
Code for Sobol' sensitivity analysis using methods of sparse grid interpolation:
SAcode.zip
This zip file includes zpinterp_v5.1.1, which was developed by Andreas Klimke (further details and attribution are included in the files).
The methods for sensitivity analysis are described further in
- Buzzard, G.T., Global sensitivity analysis using sparse grid interpolation and polynomial chaos, Reliability Eng. and Sys. Safety, 107 (SAMO 2010); 82-89, 2012. dx.doi.org/10.1016/j.ress.2011.07.011
- Buzzard, G.T., Efficient basis change for sparse-grid interpolating polynomials with application to T-cell sensitivity analysis, Computational Biology Journal, Article ID 562767, 10 pages, 2013. doi: dx.doi.org/10.1155/2013/56276
Optimal Binary Filter Design
Please email me (buzzard at purdue dot edu) to obtain software for finding optimal binary filters, as described in
- D.S. Wilcox, et al., Photon level chemical classification using digital compressive detection, Anal. Chim. Acta (2012), dx.doi.org/10.1016/j.aca.2012.10.005
- Wilcox, D.S., Buzzard, G.T., Lucier, B.J., Rehrauer, O.G, Wang, P., and Ben-Amotz, D., Digital Compressive Chemical Quantitation and Hyperspectral Imaging, Royal Society Chem, Analyst, 138(17); 4982-4990, 2013. dx.doi.org/10.1039/C3AN00309D