Title:
SIGNAL CLASSIFICATION METHOD AND DEVICE
Document Type and Number:
WIPO Patent Application WO/2021/115059
Kind Code:
A1
Abstract:
Provided are a signal classification method and a device, the method includes: acquiring the terahertz time-domain signal of the biological tissue (101); processing the terahertz time-domain signal to obtain the wavelet entropy and wavelet energy features (102); constructing the feature vector based on the wavelet energy and the wavelet entropy (103); performing dimensionality reduction processing on the feature vector, and inputting the feature vector after dimensionality reduction processing into the preset machine learning classifier for recognition, so as to realize the recognition and classification of the terahertz time-domain signal based on the obtained recognition and classification result (104). Through the wavelet transform of the terahertz time-domain signal, the feature vector is constructed based on the wavelet energy and entropy, while considering energy information, the important information of complexity is introduced into the feature vector, which enriches the sample information carried by the feature vector; and through performing dimensionality reduction on the feature vector, the classification and recognition speed is improved.
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Inventors:
LIU WENQUAN (CN)
ZHANG RUI (CN)
LU YUANFU (CN)
LI GUANGYUAN (CN)
SHE RONGBIN (CN)
ZHANG RUI (CN)
LU YUANFU (CN)
LI GUANGYUAN (CN)
SHE RONGBIN (CN)
Application Number:
PCT/CN2020/129519
Publication Date:
June 17, 2021
Filing Date:
November 17, 2020
Export Citation:
Assignee:
SHENZHEN INST ADV TECH (CN)
International Classes:
G06K9/00
Foreign References:
| CN111027488A | 2020-04-17 | |||
| CN109785272A | 2019-05-21 | |||
| CN103411912A | 2013-11-27 | |||
| CN109101890A | 2018-12-28 | |||
| CN103345641A | 2013-10-09 |
Other References:
LIU WENQUAN, ZHANG RUI, LING YU, TANG HONGPING, SHE RONGBIN, WEI GUANGLU, GONG XIAOJING, LU YUANFU: "Automatic recognition of breast invasive ductal carcinoma based on terahertz spectroscopy with wavelet packet transform and machine learning", BIOMEDICAL OPTICS EXPRESS, vol. 11, no. 2, 1 February 2020 (2020-02-01), United States, pages 971, XP055819981, ISSN: 2156-7085, DOI: 10.1364/BOE.381623
LIU WENQUAN; ZHANG RUI; LU YUANFU; SHE RONGBIN; ZHOU KAI; FANG BEIHUA; WEI GUANGLU; LI GUANGYUAN: "Classification of terahertz pulsed signals from breast tissues using wavelet packet energy feature exaction and machine learning classifiers", SPIE PROCEEDINGS, vol. 11196, 18 November 2019 (2019-11-18), US, pages 1119606 - 1119606-8, XP060127480, ISBN: 978-1-5106-3673-6, DOI: 10.1117/12.2537277
HENIGULI WUMAIER ET AL.: "A Gearbox Fault Detecting Method Based on Morlet Wavelet Transform and MLP Neural Network", CHINESE JOURNAL OF ELECTRON DEVICES, vol. 39, no. 4, 31 August 2016 (2016-08-31), pages 834 - 840, XP055819987
LIU WENQUAN; ZHANG RUI; LU YUANFU; SHE RONGBIN; ZHOU KAI; FANG BEIHUA; WEI GUANGLU; LI GUANGYUAN: "Classification of terahertz pulsed signals from breast tissues using wavelet packet energy feature exaction and machine learning classifiers", SPIE PROCEEDINGS, vol. 11196, 18 November 2019 (2019-11-18), US, pages 1119606 - 1119606-8, XP060127480, ISBN: 978-1-5106-3673-6, DOI: 10.1117/12.2537277
HENIGULI WUMAIER ET AL.: "A Gearbox Fault Detecting Method Based on Morlet Wavelet Transform and MLP Neural Network", CHINESE JOURNAL OF ELECTRON DEVICES, vol. 39, no. 4, 31 August 2016 (2016-08-31), pages 834 - 840, XP055819987
Attorney, Agent or Firm:
BEIJING ZHONG XUN TONG DA INTELLECTUAL PROPERTY AGENCY CO., LTD. (CN)
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