
Laszlo B Kish
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Papers by Laszlo B Kish
average values of the corresponding physical quantities.
• Often, the measurement of these fluctuations can serve with some unique information that cannot be
assessed by other means or it causes the least perturbation to the system.
• Fluctuation-Enhanced Sensing (2001, John Audia, SPAWAR, US Navy): sensing of physical, chemical
or biological agents where fluctuations are utilized to gain sensory information.
stochastic component of sensor signals which can be identified by pattern
recognizers.
• Typical FFT and bispectrum methods involved a large amount of data processing
steps and therefore significant processing time and energy requirements.
• Thus, for wireless, palmtop and similar low-power and low-processor-speed
systems there is a need of a faster fingerprinting in an energy efficient way.
selectivity and sensitivity.
• We analyze a (symmetrical) two-sensor arrangement with a joint
boundary line between an integrated sensor pair.
• We show a way to separate the adsorption-desorption signal
components from the diffusive signal component.
• The method generates two independent output spectra which double
the sensor information for pattern recognition.
semiconductor gas sensors’ sensitivity and selectivity to odors
generated by different types of bacteria which will then lead to
detection and identification of bacteria by a simple, practical,
rapid, and inexpensive way.
• Electrical fluctuations of commercial semiconductor gas sensors
during exposure to different biological agents via fluctuationenhanced
sensing have been studied.
• The normalized power spectra, zero-crossing patterns (ZCP) and
a number of statistical features including first (mean, std) and
high order statistics (skewness, kurtosis) and others are
investigated for bacteria detection and identification.