[1]赵池航,高成发,周百令,等.海洋重力异常数据处理中小波阈值选择规则分析[J].东南大学学报(自然科学版),2005,35(5):820-823.[doi:10.3969/j.issn.1001-0505.2005.05.035]
 Zhao Chihang,Gao Chengfa,Zhou Bailing,et al.Analysis of selection rules of wavelet threshold in gravitational abnormal data processing[J].Journal of Southeast University (Natural Science Edition),2005,35(5):820-823.[doi:10.3969/j.issn.1001-0505.2005.05.035]
点击复制

海洋重力异常数据处理中小波阈值选择规则分析()
分享到:

《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
35
期数:
2005年第5期
页码:
820-823
栏目:
机械工程
出版日期:
2005-09-20

文章信息/Info

Title:
Analysis of selection rules of wavelet threshold in gravitational abnormal data processing
作者:
赵池航1 高成发1 周百令2 喻国荣1
1 东南大学交通学院, 南京 210096; 2 东南大学仪器科学与工程系, 南京 210096
Author(s):
Zhao Chihang1 Gao Chengfa1 Zhou Bailing2 Yu Guorong1
1 College of Transportation, Southeast University, Nanjing 210096, China
2 Department of Instrument Science and Technology, Southeast University, Nanjing 210096, China
关键词:
重力异常 小波 小波阈值
Keywords:
gravitational abnormality wavelet wavelet threshold
分类号:
TH761.5
DOI:
10.3969/j.issn.1001-0505.2005.05.035
摘要:
分析了信号在小波Mallat算法条件下表现形式,采用小波阈值方法对经过小波变换后的重力异常信号的高频部分进行处理.分析了3种小波阈值选择规则,并将其应用到海浪波动等背景干扰因素引起的海洋重力异常畸变消除中.根据重力异常状态方程,采用通用阈值选择规则、最小最大准则阈值选择规则和无偏风险估计阈值选择规则进行了海洋重力异常数据仿真处理.理论分析和仿真处理表明:采用通用阈值选择规则、最小最大准则阈值选择规则和无偏风险估计阈值选择规则都能在一定程度上消除海洋重力异常畸变,但在相同背景条件下,通用阈值选择规则和最小最大准则阈值选择规则的性能优于无偏风险估计阈值选择规则.
Abstract:
The expressional form of signal under the condition of wavelet’s Mallat formula is analyzed, and the wavelet threshold method is used to process the high frequency part of the gravitational abnormal signal. Three selection rules of wavelet threshold are analyzed to alleviate the gravitational abnormal distortion engendered by interfering factors such as ocean wave, wing, stream, etc. Based on the state equation of gravitational abnormality, the Sqtwolog rule, the minimax rule and the rigrsure rule are adopted to carry out the simulation experiments of alleviating gravitational abnormal distortion. Theoretical analysis and simulation experiments indicate that the Sqtwolog rule, the minimax rule and the rigrsure rule are all effective for alleviating the gravitational abnormal distortion, while the Sqtwolog rule and the minimax rule excel the rigrsure rule under same background.

参考文献/References:

[1] Donoho Davaid L.De-noising by soft-thresholding [J]. IEEE Transctions on Information Theory,1995,4(3):613-627.
[2] Hu Yi, Loizou Philipos C.Speech enhancement based on wavelet thresholding the multitaper spectrum [J]. IEEE Transactions on Speech and Audio Processing,2004,12(1):59-67.
[3] Alle Meije Wink,Roerdink Jos B T M.Denoising functional MR images:a comparison of wavelet denoising and Gaussian smoothing [J]. IEEE Transactions on Medical Imaging,2004,23(3):374-387.
[4] Scheunders Paul.Wavelet thresholding of multivalued images [J]. IEEE Transactions on Image Processing,2004,13(4):475-483.
[5] Moreolo Michela Svaluto,Cincotti Gabriella,Neri Alessandro.Synthesis of optical wavelet filters [J].IEEE Photonics Technology Letters,2004,16(7):1679-1681.
[6] Nizamettin Aydin,Farokh Marvasti,Markus Hugh S.Embolic Doppler ultrasound signal Detection using discrete wavelet transform [J]. IEEE Transactions on Information Technology in Biomedicine,2004,8(2):182-190.
[7] Alin Achim,Kuruoglu Ercan E.Image denoising using bivariate α-stable distributions in the complex wavelet domain [J]. IEEE Signal Processing Letters,2005,12(1):17-20.
[8] Osman A H,Malk O P.Protection of parallel transmission lines using wavelet transform [J]. IEEE Transactions on Power Delivery,2004,19(1):49-55.
[9] 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.
  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.(in Chinese)

相似文献/References:

[1]王宁,盛昭瀚.小波变换在轴心轨迹识别中的应用[J].东南大学学报(自然科学版),1997,27(3):88.[doi:10.3969/j.issn.1001-0505.1997.03.017]
 Wang Ning,Sheng Zhaohan.Application of Wavelet Transform in Identifying Orbits of Shaft Centerline[J].Journal of Southeast University (Natural Science Edition),1997,27(5):88.[doi:10.3969/j.issn.1001-0505.1997.03.017]

备注/Memo

备注/Memo:
作者简介: 赵池航(1975—),男,博士,讲师,zhaochihang@163.com.
更新日期/Last Update: 2005-09-20