Blind Calibration is an exciting formulation for in-situ calibration in
sensor networks. Laura Balzano (while at UCLA) and Robert Nowak
written a paper for IPSN 2007 and are studying their formulation and
algorithms further. Here are some related documents.
Slides from the EE ARR Talk:
Calibration data from the NESL CVS:
Cold Air Drainage data used for the IPSN paper:
If you would like matlab code for a basic example of blind calibration by
subspace matching, you can download it here.
Data I used to do the
ground truth calibration
- Data I used to do the blind
A snippet of matlab
is available here to help you understand the file formats.