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Biologically Inspired Signal Processing for Chemical Sensing
. Ed(S): Marco, Santiago; Gutierrez, Agustin
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Description for Biologically Inspired Signal Processing for Chemical Sensing
Hardback. This volume presents a collection of research advances in biologically inspired signal processing for chemical sensing. The book provides background on the olfactory system and some bio-inspired approaches to processing chemical sensor signals. Editor(s): Marco, Santiago; Gutierrez, Agustin. Series: Studies in Computational Intelligence. Num Pages: 169 pages, 10 black & white tables, biography. BIC Classification: PDN; PN; PSA; TBC; UYQ; UYS. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 12. Weight in Grams: 438.
Biologically inspired approaches for artificial sensing have been extensively applied to different sensory modalities over the last decades and chemical senses have been no exception. The olfactory system, and the gustatory system to a minor extent, has been regarded as a model for the development of new artificial chemical sensing s- tems. One of the main contributions to this field was done by Persaud and Dodd in 1982 when they proposed a system based on an array of broad-selective chemical sensors coupled with a pattern recognition engine. The array aimed at mimicking the sensing strategy followed by the olfactory system ... Read more
Biologically inspired approaches for artificial sensing have been extensively applied to different sensory modalities over the last decades and chemical senses have been no exception. The olfactory system, and the gustatory system to a minor extent, has been regarded as a model for the development of new artificial chemical sensing s- tems. One of the main contributions to this field was done by Persaud and Dodd in 1982 when they proposed a system based on an array of broad-selective chemical sensors coupled with a pattern recognition engine. The array aimed at mimicking the sensing strategy followed by the olfactory system ... Read more
Product Details
Format
Hardback
Publication date
2009
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
169
Condition
New
Series
Studies in Computational Intelligence
Number of Pages
169
Place of Publication
Berlin, Germany
ISBN
9783642001758
SKU
V9783642001758
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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