A new approach to signal filtering method using K-means clustering and distance-based Kalman filtering

A new approach to signal filtering method using K-means clustering and distance-based Kalman filtering

Human axillary odours taken by an electronic nose (e-nose) device that uses a Metal Oxide Semiconductor (MOS) sensor not only contains a gas signal from the pure source of the axillary odour but also has the potential to contain other substances such as perfume and deodorant. This situation requires...

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Bibliographic Details
Main Authors: M. Syauqi Hanif Ardani, Riyanarto Sarno, Malikhah Malikhah, Doni Putra Purbawa, Shoffi Izza Sabilla, Kelly Rossa Sungkono, Chastine Fatichah, Dwi Sunaryono, Rahadian Indarto Susilo
Format: Article
Language:English
Published: Elsevier 2022-12-01
Series:Sensing and Bio-Sensing Research
Subjects:
Electronic nose
K-means clustering
Kalman filtering
Noise reduction
Signal processing
Online Access:http://www.sciencedirect.com/science/article/pii/S221418042200068X

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http://www.sciencedirect.com/science/article/pii/S221418042200068X

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