|
扩展功能 |
|
| 本文信息 | |
 |
Supporting info |
|
PDF(3252KB) |
|
[HTML全文] |
|
参考文献[PDF] |
|
参考文献 |
| 服务与反馈 | |
|
加入引用管理器 |
|
引用本文 |
|
Email Alert |
|
文章反馈 |
|
浏览反馈信息 |
| 本文关键词相关文章 | |
|
随机噪声 |
|
主成分分析 |
|
K-SVD字典 |
|
去噪 |
| 本文作者相关文章 | |
|
朱鹤文 |
|
韩立国 |
|
陈瑞鼎 |
| PubMed | |
|
Article by Zhu H |
|
Article by Han L |
|
Article by Chen R |
国家自然科学基金项目（41674124）
[2] 李光辉. 陆地地震勘探随机噪声建模与分析:博士学位论文[D].长春:吉林大学,2016. LI Guang-hui. Modeling and analysis of seismic exploration random noise on land:doctor's degree thesis[D]. Changchun:Jilin University, 2016.
[3] 陈双全,李向阳.应用傅里叶尺度变换提高地震资料分辨率[J].石油地球物理勘探,2015,50(2):213-218. CHEN Shuang-quan, LI Xiang-yang. Using Fourier scale transform to improve the resolution of seismic data[J]. Oil Geophysical Prospecting,2015,50(2):213-218.
[4] 王士刚. 地震数据解释中小波去噪方法研究:硕士学位论文[D].长春:吉林大学,2015. WANG Shi-gang.Research of wavelet denoising on seismic data interpretation:master's degree thesis[D]. Changchun:Jilin University, 2015.
[5] 姚胜利. 地震信号的小波去噪方法研究:硕士学位论文[D].长沙:中南大学,2007. YAO Sheng-li. Research of wavelet denoising on seismic data interpretation:master's degree thesis[D].Changsha:Central South University,2007.
[6] 刘俊成,赵强.改进阈值法在二代小波变换去噪中的应用[J].世界地质,2017,36(2):570-578. LIU Jun-cheng,ZHAO Qiang. Application of improved threshold method on second-generation wavelet transform denoising[J].Global Geology,2017,36(2):570-578.
[7] 钟伟,杨宝俊,张智.多项式拟合技术在强噪声地震资料中的应用研究[J].地球物理学进展,2006,21(1):184-189. ZHONG Wei, YANG Bao-jun, ZHANG Zhi. Research on application of polynomial fitting technique in highly noisy seismic data[J].Progress in Geophysics,2006,21(1):184-189.
[8] Elad M. Sparse and redundant representations from theory to applications in signal and image processing[M]. New York:Springer, 2010:286-294.
[9] 许德鑫. 基于稀疏表示和字典学习的地震数据去噪研究:博士学位论文[D].长春:吉林大学,2016. XU De-xin. Research on seismic denoising based on sparse representation and dictionary learning:doctor's degree thesis[D]. Changchun:Jilin University, 2016.
[10] 刘强,韩立国,李洪建.混采数据分离中插值与去噪的同步处理[J].地球物理学报,2014,57(5):1647-1654. LIU Qiang, HAN Li-guo, LI Hong-jian. Synchronous interpolation and denoising in simultaneous-source data separation[J]. Chinese Journal of Geophysics,2014,57(5):1647-1654.
[11] Olshausen B A, Millman K J. Learning sparse overcomplete image representations[J].Proceedings of SPIE,4119:445-452.
[12] Tang G,Ma J W, Yang H Z. Seismic data denoising based on learning-type overcomplete dictionaries[J].Applied Geophysics, 2012(1):31-36,118-119.
[13] 杜洪,夏欣,琚生根,等.基于PCA图像压缩算法研究与实现[J]. 四川大学学报(自然科学版),2014,51(5):910-914. DU Hong, XIA Xin, JU Sheng-gen, et al.Image compression based on PCA[J]. Journal of Sichuan University(Natural Science Edition), 2014,51(5):910-914.
[14] 周桐. 基于PCA的人脸识别系统的设计与实现:硕士学位论文[D].哈尔滨:哈尔滨工业大学,2007. ZHOU Tong. Face recognition system design and implementation based on principal component analysis:master's degree thesis[D].Harbin:Harbin Institute of Technology,2007.
[15] Zhang L,Dong W S,Zhang D, et al. Two-stage image denoising by principal component analysis with local pixel grouping[J]. Pattern Recognition,2009,43(4):1531-1549.
[16] 余付平,冯有前,范成礼,等.基于主成分分析的字典学习[J].控制与决策,2013,28(7):1109-1112. YU Fu-ping, FENG You-qian, FAN Cheng-li, et al. Dictionary learning based on principal component analysis[J].Control and Decision, 2013,28(7):1109-1112.
[17] 高睿. 基于压缩传感的匹配追踪重建算法研究:硕士学位论文[D].北京:北京交通大学,2009. GAO Rui.Matching pursuit for image reconstruction based on compressive sensing:master's degree thesis[D]. Beijing:Beijing Jiaotong University, 2009
[18] 程时俊,韩立国,于江龙,等.基于改进K-SVD字典学习方法的地震数据去噪[J].世界地质,2018,37(2):627-635. CHENG Shi-jun, HAN Li-guo, YU Jiang-long, et al. Seismic data denoising based on improved K-SVD dictionary learning method[J]. Global Geology,2018,37(2):627-635.
[19] 魏东,周健鹏.K-SVD和OMP算法在超声信号去噪中的应用[J].应用声学,2016,35(2):95-101. WEI Dong,ZHOU Jian-peng.Application of K-SVD and OMP algorithm on ultrasonic signal denoising[J].Applied Acoustics,2016,35(2):95-101.
[20] 陈少利,杨敏.改进变步长快速迭代收缩阈值算法[J].计算机技术与发展,2017,27(10):69-73. CHEN Shao-li, YANG Min. An improved fast iterative shrinkage-threshold algorithm with variable stepsize[J]. Computer Technology and Development,2017,27(10):69-73.