A Novel Sparse Representation Classification Method for Gas Identification Using Self-Adapted Temperature Modulated Gas Sensors

A Novel Sparse Representation Classification Method for Gas Identification Using Self-Adapted Temperature Modulated Gas Sensors

A novel sparse representation classification method (SRC), namly SRC based on Method of Optimal Directions (SRC_MOD), is proposed for electronic nose system in this paper. By finding both a synthesis dictionary and a corresponding coefficient vector, the <i>i</i>-th class training sample...

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Bibliographic Details
Main Authors: Aixiang He, Guangfen Wei, Jun Yu, Meihua Li, Zhongzhou Li, Zhenan Tang
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Sensors
Subjects:
electronic nose
gas identification
sparse representation classification (SRC)
method of optimal directions (MOD)
temperature modulation
Online Access:https://www.mdpi.com/1424-8220/19/9/2173

Internet

https://www.mdpi.com/1424-8220/19/9/2173

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