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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.