Biologically Inspired Signal Processing for Chemical Sensing

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Gutiérrez, Agustín (Επιμελητής έκδοσης), Marco, Santiago (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.
• Σειρά: Studies in Computational Intelligence, 188
• Θέματα: Engineering.; Chemoinformatics.; Artificial intelligence.; Bioinformatics.; Computational intelligence.; Computational Intelligence.; Signal, Image and Speech Processing.; Computer Applications in Chemistry.; Artificial Intelligence (incl. Robotics).

This volume presents a collection of research advances in biologically inspired signal processing for chemical sensing. The olfactory system, and the gustatory system to a minor extent, has been taken in the last decades as a source of inspiration to develop artificial sensing systems. The performan...

Πίνακας περιεχομένων:

• 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.