Stationary lifting wavelet de-noising method based on optimal decomposition level

被引:0
|
作者
Zhang, Xian [1 ]
Wang, Hong-Li [1 ]
机构
[1] Department of Automatic Control Engineering, The Second Artillery Engineering College, Xi'an 710025, China
来源
关键词
Compendex;
D O I
暂无
中图分类号
学科分类号
摘要
Signal to noise ratio
引用
收藏
页码:501 / 508
相关论文
共 50 条
  • [41] Determination of the optimal decomposition scale in wavelet de-noising of optical fiber sensing signal
    Chen, Y. (chenyong@cqupt.edu.cn), 1600, Board of Optronics Lasers, No. 47 Yang-Liu-Qing Ying-Jian Road, Tian-Jin City, 300380, China (24):
  • [42] Real-time Traffic Data De-noising Based on Wavelet De-noising
    Xiao Qian
    Li Yingchao
    Wu Shuwei
    Zhao Zhipeng
    PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON CIVIL, TRANSPORTATION AND ENVIRONMENT, 2016, 78 : 1366 - 1369
  • [43] Electrocardiogram signals de-noising using lifting-based discrete wavelet transform
    Erçelebi, E
    COMPUTERS IN BIOLOGY AND MEDICINE, 2004, 34 (06) : 479 - 493
  • [44] The optimal Mexican hat wavelet filter de-noising method based on cross-validation method
    Liu, W. Y.
    Han, J. G.
    NEUROCOMPUTING, 2013, 108 : 31 - 35
  • [45] Wavelet Based De-noising of Pulse Signal
    Guo, Rui
    Wang, Yiqin
    Yan, Jianjun
    Li, Fufeng
    Yan, Haixia
    2008 IEEE INTERNATIONAL SYMPOSIUM ON IT IN MEDICINE AND EDUCATION, VOLS 1 AND 2, PROCEEDINGS, 2008, : 617 - +
  • [46] Wavelet de-noising of speech using singular spectrum analysis for decomposition level selection
    Dept. of Electronic Eng., Shanghai Jiaotong Univ., Shanghai 200030, China
    J. Shanghai Jiaotong Univ. Sci., 2007, 2 (190-196): : 190 - 196
  • [47] Adaptive wavelet based spatially de-noising
    Pan, Q
    Zhang, L
    Zhang, HC
    Dai, GZ
    ICSP '98: 1998 FOURTH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, PROCEEDINGS, VOLS I AND II, 1998, : 486 - 489
  • [48] Wavelet De-noising of Speech Using Singular Spectrum Analysis for Decomposition Level Selection
    蔡铁
    朱杰
    Journal of Shanghai Jiaotong University, 2007, (02) : 190 - 196
  • [49] Improving de-noising by coefficient de-noising and dyadic wavelet transform
    Zhu, HL
    Kwok, JI
    Qu, LS
    16TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL II, PROCEEDINGS, 2002, : 273 - 276
  • [50] EEG De-noising Based on Wavelet Transformation
    Yu, Lanlan
    2009 3RD INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICAL ENGINEERING, VOLS 1-11, 2009, : 2539 - 2542