Title :
Separating Chemical Signals of Adsorption– Desorption and Diffusive Processes
Author :
Schmera, Gabor ; Gingl, Zoltan ; Kish, Laszlo B. ; Ayhan, Bulent ; Kwan, Chiman ; Granqvist, Claes-Göran
Author_Institution :
Space & Naval Warfare Syst. Center, San Diego, CA, USA
fDate :
3/1/2010 12:00:00 AM
Abstract :
We present a new sensor signal processing method that improves selectivity, sensitivity, and processing speed in systems, using fluctuation-enhanced sensing. We consider the output signal of a symmetric two-sensor arrangement and generate two independent output spectra by separating the adsorption-desorption signal component from the diffusion signal component. We demonstrate the key features of our method by computer modeling and simulation.
Keywords :
Monte Carlo methods; adsorption; desorption; source separation; adsorption-desorption; chemical signals; diffusive processes; fluctuation-enhanced sensing; sensor signal processing method; signal separation; Acoustic sensors; Acoustical engineering; Chemical analysis; Chemical processes; Chemical sensors; Fluctuations; Signal processing; Solid state circuits; Stochastic resonance; Surface acoustic wave devices; Adsorption–desorption; diffusion; fluctuation-enhanced sensing (FES); signal separation;
Journal_Title :
Sensors Journal, IEEE
DOI :
10.1109/JSEN.2009.2038538
