Biologically Inspired Signal Processing for Chemical Sensing /
| Corporate Author: | |
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| Other Authors: | , |
| Format: | eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2009.
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| Edition: | 1st ed. 2009. |
| Series: | Studies in Computational Intelligence,
188 |
| Subjects: |
Table of Contents:
- Biological Olfaction
- "Sloppy Engineering" and the Olfactory System of Insects
- From ANN to Biomimetic Information Processing
- The Sensitivity of the Insect Nose: The Example of Bombyx Mori
- Multivariate Analysis of the Activity of the Olfactory Bulb
- Artificial Olfaction and Gustation
- Improved Odour Detection through Imposed Biomimetic Temporal Dynamics
- Relating Sensor Responses of Odorants to Their Organoleptic Properties by Means of a Biologically-Inspired Model of Receptor Neuron Convergence onto Olfactory Bulb
- A Novel Bio-inspired Digital Signal Processing Method for Chemical Sensor Arrays
- Monitoring an Odour in the Environment with an Electronic Nose: Requirements for the Signal Processing
- Multivariate Calibration Model for a Voltammetric Electronic Tongue Based on a Multiple Output Wavelet Neural Network.