International Journal of Aerospace Engineering
Volume 2015 (2015), Article ID 183712, 19 pages
http://dx.doi.org/10.1155/2015/183712
A Comprehensive Probabilistic Framework to Learn Air Data from Surface Pressure Measurements
1Massachusetts Institute of Technology, Cambridge, MA 02139, USA
2Rice University, Houston, TX 77005, USA
Received 11 May 2015; Revised 13 August 2015; Accepted 23 August 2015
Academic Editor: Christopher J. Damaren
Copyright © 2015 Ankur Srivastava and Andrew J. Meade. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
How to Cite this Article
Ankur Srivastava and Andrew J. Meade, “A Comprehensive Probabilistic Framework to Learn Air Data from Surface Pressure Measurements,” International Journal of Aerospace Engineering, vol. 2015, Article ID 183712, 19 pages, 2015. doi:10.1155/2015/183712