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Resolving Fast Gas Transients with Metal Oxide Sensors
Damien Drix,
Michael Schmuker
School of Physics, Engineering & Computer Science
Department of Computer Science
Biocomputation Research Group
Research output
:
Contribution to journal
›
Article
›
peer-review
1
Citation (Scopus)
30
Downloads (Pure)
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Keyphrases
Metal Oxide Sensors
100%
Electronic Olfaction
50%
Harmful Pollutants
50%
Electronic Nose (E-nose)
50%
Fast Onset
50%
Harmful Gases
50%
Dead-band
50%
Odor Pulses
50%
Source Direction
50%
Slow Response
50%
Natural Environment
50%
High-resolution Data
50%
Metal Oxide Gas Sensor
50%
Direction Estimation
50%
Age of Onset
50%
Turbulence
50%
Stereo
50%
Kalman Filter
50%
Processing Methods
50%
Engineering
Data Collection
100%
Gas Sensor
100%
Filtration
100%
Electronic Nose
100%
Transients
100%
Fast Gas
100%
High Resolution
100%
Processing Method
100%
Computer Science
Processing Method
100%
Source Direction
100%
Data Collection
100%
Physics
Transients
100%
High Resolution
100%
Data Acquisition
100%
Mathematics
Kalman Filtering
100%
Data Collection
100%
Earth and Planetary Sciences
Metal Oxide
100%
Physical Environment
33%
Data Acquisition
33%