A New Approach to Signal Filtering Method Using K-Means Clustering and Distance-Based Kalman Filtering-Reference-Cited by-同舟云学术

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A New Approach to Signal Filtering Method Using K-Means Clustering and Distance-Based Kalman Filtering

Published:2022 Issue: Volume: Page:
ISSN:1556-5068
Container-title:SSRN Electronic Journal
language:en
Short-container-title:SSRN Journal

Author:

Ardani M. Syauqi Hanif,Sarno Riyanarto,Malikhah Malikhah,Purbawa Doni Putra,Sabilla Shoffi Izza,Sungkono Kelly Rossa,Fatichah Chastine,Sunaryono Dwi,Susilo Rahadian Indarto

Publisher

Elsevier BV

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference23 articles.

1. Volatile Organic Compounds;S S Anand;Third Edit,2014

2. Modeling of a gas concentration measurement system;L Wang;Annual International Conference of the IEEE Engineering in Medicine and Biology -Proceedings,2005

3. A modified adaptive stochastic resonance for detecting faint signal in sensors;H Qi;Sensors,2007

4. Circuit and Noise Analysis of Odorant Gas Sensors in an E-Nose;F Tian;Intelligent Systems for Machine Olfaction: Tools and Methodologies,2004

5. Recognizing lung cancer using a homemade e-nose: A comprehensive study;W Li;Computers in Biology and Medicine,2020

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Filter Validation for Detecting Outliers of Photoplethysmograph Data;2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC);2023-02-20

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