Study on Interference Suppression Algorithms for Electronic Noses: A Review-Reference-Cited by-同舟云学术

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Study on Interference Suppression Algorithms for Electronic Noses: A Review

Published:2018-04-12 Issue:4 Volume:18 Page:1179
ISSN:1424-8220
Container-title:Sensors
language:en
Short-container-title:Sensors

Author:

Liang Zhifang,Tian Fengchun,Yang Simon,Zhang Ci,Sun Hao,Liu Tao

Funder

Natural Science Foundation of China

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Link

http://www.mdpi.com/1424-8220/18/4/1179/pdf

Reference78 articles.

1. Biologically Inspired Feature Rank Codes for Hardware Friendly Gas Identification With the Array of Gas Sensors

2. A Bioinspired Neural Network for Data Processing in an Electronic Nose

3. A novel sensor selection using pattern recognition in electronic nose

4. E-nose application to food industry production

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1. Real-Time Monitoring of Odour Emissions at the Fenceline of a Waste Treatment Plant by Instrumental Odour Monitoring Systems: Focus on Training Methods;Sensors;2024-05-29

2. Advancements and Prospects of Electronic Nose in Various Applications: A Comprehensive Review;Applied Sciences;2024-05-24

3. Bio-inspired photonic and plasmonic systems for gas sensing: applications, fabrication, and analytical methods;Journal of Optical Microsystems;2024-05-21

4. Interference Separation Using Improved Nonnegative Matrix Factorization for Odor Reproduction Analysis in Mass Spectrum Space;2024 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN);2024-05-12

5. Electronic Tongues and Noses: A General Overview;Biosensors;2024-04-13

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