Gas Sensing Discrimination using a Cellular Nonlinear Network

In this work, we developed a signal processing Cellular Nonlinear Network (CNN) for the detection and classification of real sensor data obtained from a memristive gas sensors matrix. Applying a gas sensor CNN we can discriminate between hazardous gases such as Ammonia (NH
3
) and Hydrogen Sulfide (H
2
S) and determine their concentration levels.