An Improved Threshold Function for Wavelet De-noising

被引：0
|
作者：
Li, Zhong [1 ]
Zhang, Dong-xue [2 ]
机构：
[1] N China Elect Power Univ, Sch Elect & Elect Engn, Baoding 071003, Peoples R China
[2] Hohhot Power Supply Bureau Inner Mongolia Power g, Hohhot 010050, Peoples R China
来源：
ADVANCES IN COMPUTER SCIENCE, INTELLIGENT SYSTEM AND ENVIRONMENT, VOL 1 | 2011年 / 104卷
关键词：
Wavelet transform; Wavelet de-noising; Threshold;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Wavelet de-noising is an important application of wavelet analysis in engineering. In this paper, an improved wavelet threshold function is proposed. Matlab simulation results on Blocks signal with additive white Gaussian noises show that this method is effective and can get the better de-noising effect than the traditional soft or hard threshold method.
引用
收藏
页码：265 / +
页数：2
相关论文
共 50 条
  • [31] Threshold selection for wavelet de-noising of partial discharge data
    Agoris, PD
    Meijer, S
    Gulski, E
    Smit, JJ
    CONFERENCE RECORD OF THE 2004 IEEE INTERNATIONAL SYMPOSIUM ON ELECTRICAL INSULATION, 2004, : 62 - 65
  • [32] The application of wavelet threshold neural network in the de-noising and prediction
    Institute of Information Science, Beijing Jiaotong University, Beijing 100044, China
    不详
    不详
    Kong Zhi Li Lun Yu Ying Yong, 2008, 3 (485-491):
  • [33] Study of wavelet packet de-noising based on mean threshold
    Yuan, Junquan
    Ma, Xiaoyan
    Wuhan Jiaotong Keji Daxue Xuebao/Journal of Wuhan Transportation University, 2000, 24 (02): : 215 - 217
  • [34] A New Threshold Function for De-noising Partial Discharge Signal Based on Wavelet Transform
    Ray, Partha
    Maitra, A. K.
    Basuray, Arijit
    INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, IMAGE PROCESSING AND PATTERN RECOGNITION (ICSIPR 2013), 2013, : 185 - 189
  • [35] Analysis of modified methods of wavelet threshold de-noising functions
    Institute of Electrostatic and Electromagnetic Protection, Ordnance Engineering College, Shijiazhuang 050003, China
    Gaodianya Jishu, 2007, 10 (59-63):
  • [36] Novel threshold function wavelet de-noising algorithm based on cubic spline interpolation
    Cao Dong
    He Xiaohua
    Yi Jun
    2012 INTERNATIONAL SYMPOSIUM ON INFORMATION SCIENCE AND ENGINEERING (ISISE), 2012, : 400 - 403
  • [37] De-noising of THz Image based on Wavelet Threshold Methods
    Liu, Wenquan
    Ruan, Shuangchen
    DCABES 2008 PROCEEDINGS, VOLS I AND II, 2008, : 206 - +
  • [38] 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
  • [39] De-noising of ECG signal using translation-invariant wavelet de-noising method with improved thresholding
    Su, Li
    Zhao, Guoliang
    2005 27TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-7, 2005, : 5946 - 5949
  • [40] Application of wavelet de-noising in non-stationary signal analysis based on the parameter optimization of improved threshold function
    Nie, Haizhao
    Liu, Hui
    Shi, Lei
    RENEWABLE ENERGY AND ENVIRONMENTAL TECHNOLOGY, PTS 1-6, 2014, 448-453 : 2068 - 2076
12345