Biologically Inspired Signal Processing for Chemical Sensing

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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Gutiérrez, Agustín (Editor ), Marco, Santiago (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
Edición:1st ed. 2009.
Colección:Studies in Computational Intelligence, 188
Temas:
Computational intelligence.
Signal processing.
Chemistry-Data processing.
Bioinformatics.
Artificial intelligence.
Computational Intelligence.
Signal, Speech and Image Processing .
Computational Chemistry.
Artificial Intelligence.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

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