Blind processing method for frequency hopping signals based on Winger-Ville rearrangement and stationary wavelet

被引:0
|
作者
Cai, Cheng-Lin [1 ,3 ]
Xiong, Hai-Liang [2 ]
Yang, Ling [3 ]
机构
[1] National Time Service Center, CAS, Lintong 710600, China
[2] State Key Lab. of Integrated Service Networks, Xidian University, Xi'an 710071, China
[3] Hunan Institute of Humanities Science and Technology, Loudi 417000, China
关键词
Signal to noise ratio;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:115 / 118
相关论文
共 48 条
  • [41] Adaptive Whitening and Feature Gradient Smoothing-Based Anti-Sample Attack Method for Modulated Signals in Frequency-Hopping Communication
    Zhu, Yanhan
    Li, Yong
    Duan, Zhu
    ELECTRONICS, 2024, 13 (09)
  • [42] Numerical method for processing frequency measuring signals from microelectronic sensors based on transistor structures with negative differential resistance
    Osadchuk, Alexander V.
    Semenov, Andriy A.
    Zviahin, Oleksander S.
    Savytskyi, Anton Y.
    Komada, Pawel
    Nurseitova, Karlygash
    PHOTONICS APPLICATIONS IN ASTRONOMY, COMMUNICATIONS, INDUSTRY, AND HIGH-ENERGY PHYSICS EXPERIMENTS 2019, 2019, 11176
  • [43] A demodulation algorithm for processing rotational inertia signals using a torsion pendulum method based on differentiation and resonance frequency analysis
    Zhang, Lieshan
    Wang, Meibao
    Lin, Jiejun
    Liul, Pu
    MEASUREMENT SCIENCE AND TECHNOLOGY, 2021, 32 (02)
  • [44] Exploiting Temporal Correlation for Detection of Non-stationary Signals Using a De-chirping Method Based on Time–Frequency Analysis
    Nabeel Ali Khan
    Sadiq Ali
    Circuits, Systems, and Signal Processing, 2018, 37 : 3136 - 3153
  • [45] Frequency domain TRINICON-based blind source separation method with multi-source activity detection for sparsely mixed signals
    Wang, Zelin
    Lu, Jing
    Chen, Kai
    2018 IEEE 10TH SENSOR ARRAY AND MULTICHANNEL SIGNAL PROCESSING WORKSHOP (SAM), 2018, : 637 - 641
  • [46] A Time-Frequency Domain Detection Method for Measurement Data of Non-Stationary Signals Based on Optimized Hilbert-Huang Transform
    Zhu, Caiyun
    Cao, Tianyu
    Zhao, Xiaoqun
    Yang, Yichen
    Xu, Zhongwei
    IEEE INSTRUMENTATION & MEASUREMENT MAGAZINE, 2023, 26 (02) : 29 - 39
  • [47] Exploiting Temporal Correlation for Detection of Non-stationary Signals Using a De-chirping Method Based on Time-Frequency Analysis
    Khan, Nabeel Ali
    Ali, Sadiq
    CIRCUITS SYSTEMS AND SIGNAL PROCESSING, 2018, 37 (08) : 3136 - 3153
  • [48] A new statistical test based on the wavelet cross-spectrum to detect time-frequency dependence between non-stationary signals: Application to the analysis of cortico-muscular interactions
    Bigot, Jeremie
    Longcamp, Marieke
    Dal Maso, Fabien
    Amarantini, David
    NEUROIMAGE, 2011, 55 (04) : 1504 - 1518