[1] |
Candès E J, Romberg J, Tao T . 2006. Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information[J]. IEEE Transactions on information theory, 52(2):489-509.
doi: 10.1109/TIT.2005.862083
|
[2] |
Donoho D L . 2006. Compressed sensing[J]. IEEE Transactions on information theory, 52(4):1289-1306.
doi: 10.1109/TIT.2006.871582
|
[3] |
Hennenfent G, Herrmann F J . 2008. Simply denoise: Wavefield reconstruction via jittered undersampling[J]. Geophysics, 73(3): 1 MJ-Z46.
doi: 10.1190/1.2841038
|
[4] |
Herrmann F J, Hennenfent G . 2008. Non-parametric seismic data recovery with curvelet frames[J]. Geophysical Journal International, 173(1):233-248.
doi: 10.1111/j.1365-246X.2007.03698.x
|
[5] |
Labate D, Lim W Q, Kutyniok G , et al. 2005. Sparse multidimensional representation using shearlets[J]. Optics & Photonics, 59140 U-59140 U.
doi: 10.1117/12.613494
|
[6] |
LI Hai-Shan, WU Guo-Chen, YIN Xing-Yao . 2012. Morphological component analysis in seismic data reconstruction[J]. Oil Geophysical Prospecting(in Chinese), 47(2):236-243.
|
[7] |
LIU Cheng-Ming, WANG De-Li, WANG Tong , et al. 2014. Random seismic noise attenuation based on the Shearlet transform[J]. Acta Petrolei Sinica(in Chinese), 35(4):692-699.
doi: 10.7623/syxb201404009
|
[8] |
REN Wei-jian, TANG Guo-wei, ZHANG Yan . 2017. Compressed sensing reconstruction of seismic data based on wave atoms domain[J]. Progress in Geophysics(in Chinese), 32(5):2152-2161, doi: 10.6038/pg20170541.
|
[9] |
Sardy S, Bruce A G, Tseng P . 2000. Block coordinate relaxation methods for nonparametric wavelet denoising[J]. Journal of computational and graphical statistics, 9(2):361-379.
doi: 10.1080/10618600.2000.10474885
|
[10] |
Starck J L, Donoho D L, Elad M . 2004. Redundant multiscale transforms and their application for morphological component separation [R]. CM-P00052061.
|
[11] |
WANG Chang-bo . 2018. Compressed sensing seismic data reconstruction with Shearlet transformation[J]. Progress in Geophysics(in Chinese), 33(6):2441-2449, doi: 10.6038/pg2018 BB0499.
|
[12] |
Wu R S, Geng Y, Ye L . 2013. Preliminary study on Dreamlet based compressive sensing data recovery[M] //SEG Technical Program Expanded Abstracts 2013. Society of Exploration Geophysicists, 3585-3590.
|
[13] |
Yang P, Fomel S . 2015. Seislet-based morphological component analysis using scale-dependent exponential shrinkage[J]. Journal of Applied Geophysics, 118:66-74.
doi: 10.1016/j.jappgeo.2015.04.003
|
[14] |
ZHANG Liang, HAN Li-Guo, XU De-Xin , et al. 2017. Seismic data reconstruction with Shearlet transform based on compressed sensing technology[J]. OGP(in Chinese), 52(2):220-225.
doi: 10.13810/j.cnki.issn.1000-7210.2017.02.004
|
[15] |
ZHOU Ya-Tong, LIU Zhi-Feng, ZHANG Zhi-Wei , et al. 2015. Seismic signal reconstruction under the morphological component analysis framework combined with discrete cosine transform(DCT)and curvelet dictionary[J]. Geophysical Prospecting for Petroleum(in Chinese), 54(5):560-568, 581.
doi: 10.3969/j.issn.1000-1441.2015.05.009
|
[16] |
Zwartjes P, Gisolf A . 2007. Fourier reconstruction with sparse inversion[J]. Geophysical Prospecting, 55(2):199-221.
doi: 10.1111/j.1365-2478.2006.00580.x
|
[17] |
李海山, 吴国忱, 印兴耀 . 2012. 形态分量分析在地震数据重建中的应用[J]. 石油地球物理勘探, 47(2):236-243.
|
[18] |
刘成明, 王德利, 王通 , 等. 2014. 基于Shearlet变换的地震随机噪声压制[J]. 石油学报, 35(04):692-699.
doi: 10.7623/syxb201404009
|
[19] |
任伟建, 唐国维, 张岩 . 2017. 基于波原子域的地震数据压缩感知重建[J]. 地球物理学进展, 32(5):2152-2161, doi: 10.6038/pg20170541.
|
[20] |
王常波 . 2018. 基于Shearlet稀疏变换基的压缩感知重建技术[J]. 地球物理学进展, 33(6):2441-2449, doi: 10.6038/pg2018 BB0499.
|
[21] |
张良, 韩立国, 许德鑫 , 等. 2017. 基于压缩感知技术的Shearlet变换重建地震数据[J]. 石油地球物理勘探, 52(2):220-225.
doi: 10.13810/j.cnki.issn.1000-7210.2017.02.004
|
[22] |
周亚同, 刘志峰, 张志伟 . 2015. 形态分量分析框架下基于DCT与曲波字典组合的地震信号重建[J]. 石油物探, 54(5):560-568, 581.
doi: 10.3969/j.issn.1000-1441.2015.05.009
|