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Output details

15 - General Engineering

University of Warwick

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Output 212 of 344 in the submission
Article title

Novel convolution-based signal processing techniques for an artificial olfactory mucosa

Type
D - Journal article
Title of journal
IEEE Sensors Journal
Article number
-
Volume number
9
Issue number
8
First page of article
929
ISSN of journal
1530-437X
Year of publication
2009
URL
-
Number of additional authors
1
Additional information

Interest has been shown by other research groups in the convolution method (Prof. Arnaldo d’Amico, University of Rome, damico@ing.uniroma2.it and Prof. Alan Gelperin, Princeton, gelperin@princeton.edu), and also to an invitation to become a visiting professor at Universiti Teknologi Malaysia.

Interdisciplinary
-
Cross-referral requested
-
Research group
None
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-