[1]赵池航,周百令.多重小波分析在高精度重力仪数据处理中的应用[J].东南大学学报(自然科学版),2003,33(4):430-433.[doi:10.3969/j.issn.1001-0505.2003.04.012]
 Zhao Chihang,Zhou Bailing.Research on application of multiwavelet to data process of precise gravimeter[J].Journal of Southeast University (Natural Science Edition),2003,33(4):430-433.[doi:10.3969/j.issn.1001-0505.2003.04.012]
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多重小波分析在高精度重力仪数据处理中的应用()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
33
期数:
2003年第4期
页码:
430-433
栏目:
机械工程
出版日期:
2003-07-20

文章信息/Info

Title:
Research on application of multiwavelet to data process of precise gravimeter
作者:
赵池航 周百令
东南大学仪器科学与工程系,南京 210096
Author(s):
Zhao Chihang Zhou Bailing
Department of Instrument Science and Technology, Southeast University, Nanjing 210096, China
关键词:
重力仪 多重小波 重力异常
Keywords:
gravimeter multiwavelet gravitational abnormal
分类号:
TH761.5
DOI:
10.3969/j.issn.1001-0505.2003.04.012
摘要:
根据随机过程理论,建立离散的重力异常状态方程; 基于多重小波理论分析的基础,将多重小波变换应用到高精度重力仪数据处理中,在高精度重力仪数据处理中采用软阈值法消除背景噪声,并与单小波多尺度分析进行了对比.以实际数据与处理后数据偏差平方和的平均数作为衡量2种数据处理方法性能的指标,理论分析和仿真实验表明:多重小波和单小波都能在一定程度上抑制噪声对高精度重力仪测量数据的影响,但多重小波的性能优于单小波.
Abstract:
Based on the theory of random process, the discrete equation of gravitational abnormal is established. Compared with wavelet, the theory of multiwavelet is analyzed and applied to process the gravitational abnormal data measured by precise gravimeter, and the method of soft threshold is adopted during the data process. The average bias square between the true data and processed data is used as the rule of evaluating the performance of the data processing methods. Theoretical analysis and emulation experiments indicate that both multiwavelet and wavelet are effective for alleviating the effect of noise on gravitational value, but the performance of multiwavelet excels that of wavelet.

参考文献/References:

[1] 朱春喜,徐长发,蔡超,等.双正交多重小波的一种构造方法[J].应用数学,1999,12(4):121-125.
  Zhu Chunxi,Xu Changfa,Cai Chao,et al.A method on construction of biorthogonal multiwavelets[J].Mathematica Applicata, 1999,12(4):121-125.(in Chinese)
[2] Via Xiang-Gen.A new prefilter design for discrete multiwavelet transforms[J]. IEEE Transactions on Signal Processing,1998,46(6):1558-1570.
[3] Bui Tien D,Chen Guangyi.Translation-invariant denoising using multiwavelet [J]. IEEE Transactions on Signal Processing,1998,46(12):3414-3420.
[4] Wang Xin.Nonlinear multiwavelet transform based soft thresholding [EB/OL].http://ieeexplore.ieee.org.2001-02-03/2002-10-01.
[5] Cotronei Mariantonia,Montrfusco Laura B,Puccio Luigia.Multiwavelet analysis and signal processing [J]. IEEE Transactions on Circuits and Systems,1998,45(8):970-987.
[6] Tham Jo Yew,Shen Lixin,Lee Seng Luan,et al.A general approach for analysis and application of discrete multiwavelet transforms [J]. IEEE Transactions on Signal Processing, 2000,48(2):457-464.
[7] Bala Erdem,Ertuzun Aysin.Applications of multiwavelet techniques to image denosing[EB/OL].http://ieeexplore.ieee.org.2002-06-01/2002-11-05.

相似文献/References:

[1]赵立业,周百令,赵池航,等.基于奇异值分解的高精度重力仪信号处理方法[J].东南大学学报(自然科学版),2004,34(6):780.[doi:10.3969/j.issn.1001-0505.2004.06.014]
 Zhao Liye,Zhou Bailing,Zhao Chihang,et al.Signal processing method of precise gravimeter based on singular value decomposition[J].Journal of Southeast University (Natural Science Edition),2004,34(4):780.[doi:10.3969/j.issn.1001-0505.2004.06.014]
[2]赵立业,李宏生,周百令,等.基于形态小波的高精度重力仪信号快速滤波算法[J].东南大学学报(自然科学版),2010,40(6):1217.[doi:10.3969/j.issn.1001-0505.2010.06.017]
 Zhao Liye,Li Hongsheng,Zhou Bailing,et al.in precise gravimeter signal processing[J].Journal of Southeast University (Natural Science Edition),2010,40(4):1217.[doi:10.3969/j.issn.1001-0505.2010.06.017]

备注/Memo

备注/Memo:
作者简介: 赵池航(1975—),男,博士生; 周百令(联系人),男,教授,博士生导师, zhoubailing@seu.edu.cn.
更新日期/Last Update: 2003-07-20