A drift correction method of E-nose data based on wavelet packet decomposition and no-load data: Case study on the robust identification of Chinese spirits-Reference-Cited by-同舟云学术

A drift correction method of E-nose data based on wavelet packet decomposition and no-load data: Case study on the robust identification of Chinese spirits

Published:2019-08 Issue: Volume:292 Page:217-224
ISSN:0925-4005
Container-title:Sensors and Actuators B: Chemical
language:en
Short-container-title:Sensors and Actuators B: Chemical

Author:

Wang Yanfang,Yin Yong,Ge Fei,Yu Huichun

Funder

National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC)

Publisher

Elsevier BV

Subject

Materials Chemistry,Electrical and Electronic Engineering,Metals and Alloys,Surfaces, Coatings and Films,Condensed Matter Physics,Instrumentation,Electronic, Optical and Magnetic Materials

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5. Feasibility of E-nose technology for discriminating between head and neck, bladder, and colon carcinomas;Goor;Eur. Arch. Otorhinolaryngol.,2017

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