Research Article
Low-Frequency Noise Characteristic Extraction Method of Electronic Components Based on Data Mining
@INPROCEEDINGS{10.1007/978-3-030-94185-7_18, author={Xiao-jing Qi}, title={Low-Frequency Noise Characteristic Extraction Method of Electronic Components Based on Data Mining}, proceedings={IoT and Big Data Technologies for Health Care. Second EAI International Conference, IoTCare 2021, Virtual Event, October 18-19, 2021, Proceedings, Part I}, proceedings_a={IOTCARE}, year={2022}, month={6}, keywords={Electronic components Low-frequency noise Characteristics Extraction Data mining}, doi={10.1007/978-3-030-94185-7_18} }- Xiao-jing Qi
Year: 2022
Low-Frequency Noise Characteristic Extraction Method of Electronic Components Based on Data Mining
IOTCARE
Springer
DOI: 10.1007/978-3-030-94185-7_18
Abstract
Aiming at the low accuracy of traditional extraction methods, a method based on data mining is proposed to extract low-frequency noise features of electronic components. Firstly, data mining is carried out. Based on this, the noise modulation model of electronic components is established. Combined with filtering, the low-frequency noise feature extraction method of electronic components is optimized, and the experimental analysis is carried out. The experimental results show that this method can effectively improve the accuracy of low frequency noise characteristics of electronic components, and has a certain practicality.
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