Making the best use of sensor data requires close
attention to calibration and data analysis. To this end, our group researches
various linear, nonlinear, and chemometric approaches to these issues.
For instance, best linear unbiased estimation provides a method by which
the resolution of a sensing system may be predicted, and which under
appropriate conditions will provide measurements with optimal resolution.
To apply this technique the system response (i.e. derivatives) and measurement
statistics must be known.