Biologically Inspired Signal Processing for Chemical Sensing

• Corporate Author: SpringerLink (Online service)
• Other Authors: Gutiřrez, Agustn̕. (Editor), Marco, Santiago. (Editor)
• Format: Electronic
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.
• Series: Studies in Computational Intelligence, 188
• Subjects: Engineering.; Chemistry.; Artificial intelligence.; Bioinformatics.; Computational Intelligence.; Signal, Image and Speech Processing.; Computer Applications in Chemistry.; Artificial Intelligence (incl. Robotics).
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-642-00176-5

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...

Table of Contents:

• Part I: 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
• Part II: 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.