Abstract

Using Signal Processing Techniques to Enhance the Temperature Measurements Using Nanohole Array Sensors

Masoud Modaresifar, Gregory J Kowalski and Dale Larson

A signal processing approach to reducing noise in the observed transmission through nanohole array sensors used in a microscale calorimeter is presented. The results demonstrate that using rectification and moving average processes, a well-defined Extraordinary Optical Transmission (EOT)-temperature calibration curve can be developed in the presence of a moving light fringe pattern.