THz time-frequency analysis with Hilbert-Huang transform

被引：0
|
作者：
Xie, Jing [1 ]
Tan, Zuojun [1 ]
Chen, Yang [2 ]
Shi, Shuning [2 ]
Chen, Lu [2 ]
机构：
[1] College of Sciences, Huazhong Agricultural University, Wuhan 430070, China
[2] College of Engineering and Technology, Huazhong Agricultural University, Wuhan 430070, China
来源：
Qiangjiguang Yu Lizishu/High Power Laser and Particle Beams | 2014年 / 26卷 / 07期
关键词：
Laser pulses - Spectrum analysis - Frequency domain analysis - Wavelet transforms - Terahertz waves - Time domain analysis - Terahertz spectroscopy;
D O I：
10.11884/HPLPB201426.073103
中图分类号：
学科分类号：
摘要：
A method for analyzing THz time-domain spectroscopy based on Hilbert-Huang transform(HHT) was presented. THz pulse of vapor can be decomposed into a number of signals with single frequency, and using Hilbert transform to those components can acquire the instantaneous frequency. The final presentation of those results is an energy-frequency-time distribution, designated as the HHT spectrum, which is compared with the time-frequency distribution based on wavelet transform. The results indicate that the method can improve the temporal resolution and frequency resolution, and it has the feature of localization analysis and adaptive selection. The HHT based THz-TDS is feasible in researching the mechanism on interaction of THz with materials by time-domain and frequency-domain.
引用
收藏
相关论文
共 50 条
  • [1] Analysis of time-frequency conglomeration of Hilbert-Huang transform
    Zhang, HY
    Zhu, LJ
    Zou, YK
    Proceedings of the 8th Joint Conference on Information Sciences, Vols 1-3, 2005, : 636 - 639
  • [2] Hilbert-Huang Transform Time-Frequency Analysis in φ-OTDR Distributed Sensor
    Hui, Xiaonan
    Zheng, Shilie
    Zhou, Jinhai
    Chi, Hao
    Jin, Xiaofeng
    Zhang, Xianmin
    IEEE PHOTONICS TECHNOLOGY LETTERS, 2014, 26 (23) : 2403 - 2406
  • [3] Time-Frequency Analysis of Electroencephalograph Signals Using the Hilbert-Huang Transform
    Tychkov, A. Yu
    BIOMEDICAL ENGINEERING-MEDITSINSKAYA TEKNIKA, 2019, 53 (02): : 102 - 107
  • [4] Time-Frequency Analysis of Scalp EEG With Hilbert-Huang Transform and Deep Learning
    Zheng, Jingyi
    Liang, Mingli
    Sinha, Sujata
    Ge, Linqiang
    Yu, Wei
    Ekstrom, Arne
    Hsieh, Fushing
    IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2022, 26 (04) : 1549 - 1559
  • [5] Time-frequency Analysis Based on Hilbert-Huang Transform for Depression Recognition in Speech
    Liu, Zhenyu
    Xu, Yaping
    Ding, ZhiJie
    Chen, Qiongqiong
    2020 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE, 2020, : 1072 - 1076
  • [6] The Hilbert-Huang transform for detection of otoacoustic emissions and time-frequency mapping
    Janusauskas, A
    Marozas, V
    Lukosevicius, A
    Sörnmo, L
    INFORMATICA, 2006, 17 (01) : 25 - 38
  • [7] Time-frequency distribution of encountered waves using Hilbert-Huang transform
    Li, Ming
    Gu, Xue-Kang
    Shan, Peiwei
    MUSP '08: MULTIMEDIA SYSTEMS AND SIGNAL PROCESSING, 2008, : 34 - +
  • [8] Time-frequency study of spintronic oscillators based on Hilbert-Huang Transform
    Siracusano, Giulio
    La Corte, Aurelio
    Carpentieri, Mario
    Finocchio, Giovanni
    2014 AEIT ANNUAL CONFERENCE - FROM RESEARCH TO INDUSTRY: THE NEED FOR A MORE EFFECTIVE TECHNOLOGY TRANSFER (AEIT), 2014,
  • [9] Time-frequency analysis of spontaneous pupillary oscillation signals using the Hilbert-Huang transform
    Villalobos-Castaldi, Fabiola M.
    Ruiz-Pinales, Jose
    Kemper Valverde, Nicolas C.
    Flores, Mercedes
    BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2016, 30 : 106 - 116
  • [10] Time-Frequency Analysis of Noisy Vibration Signal Based on Improved Hilbert-Huang Transform
    Sun M.
    Yang J.
    Wu L.
    Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University, 2023, 57 (12): : 1648 - 1656
12345