Abma, R., and J. Claerbout, 1995, Lateral prediction for noise attenuation by $t-x$ and $f-x$ techniques: Geophysics, 60, no. 6, 1887-1896.

Abma, R., D. Howe, M. Foster, I. Ahmed, M. Tanis, Q. Zhang, A. Arogunmati, and G. Alexander, 2015, Independent simultaneous source acquisition and processing: Geophysics, 80, no. 6, WD37-WD44.

Aharchaou, M., J. Anderson, S. Hughes, and J. Bingham, 2017, Singular-spectrum analysis via optimal shrinkage of singular values, in SEG Technical Program Expanded Abstracts 2017: Society of Exploration Geophysicists, 4950-4954.

Amani, S., A. Gholami, and A. J. Niestanak, 2017, Seismic random noise attenuation via 3D block matching: Journal of Applied Geophysics, 136, 353-363.

Bekara, M., and M. van der Baan, 2007, Local singular value decomposition for signal enhancement of seismic data: Geophysics, 72, no. 2, V59-V65.

Benaych-Georges, F., and R. R. Nadakuditi, 2012, The singular values and vectors of low rank perturbations of large rectangular random matrices: Journal of Multivariate Analysis, 111, 120-135.

Beylkin, G., 1987, Discrete radon transform: IEEE transactions on acoustics, speech, and signal processing, 35, no. 2, 162-172.

Bracewell, R. N., and R. N. Bracewell, 1986, The fourier transform and its applications: McGraw-Hill New York, 31999.

Cadzow, J. A., 1988, Signal enhancement - a composite property mapping algorithm: IEEE Transactions on Acoustics, Speech, and Signal Processing, 1, 49-62.

Canales, L., 1984, Random noise reduction: 54th Annual International Meeting, SEG, Expanded Abstracts, 525-527.

Candès, E. J., L. Demanet, D. L. Donoho, and L. Ying, 2006, Fast discrete curvelet transforms: SIAM, Multiscale Modeling and Simulation, 5, 861-899.

Chen, Y., M. Bai, and Y. Chen, 2019a, Obtaining free USArray data by multi-dimensional seismic reconstruction: Nature Communications, 10, no. 1, 4434.

Chen, Y., M. Bai, Z. Guan, Q. Zhang, M. Zhang, and H. Wang, 2019b, Five-dimensional seismic data reconstruction using the optimally damped rank-reduction method: Geophysical Journal International, 218, no. 1, 224-246.

Chen, Y., and S. Fomel, 2015, Random noise attenuation using local signal-and-noise orthogonalization: Geophysics, 80, no. 6, WD1-WD9.

----, 2018, EMD-seislet transform: Geophysics, 83, no. 1, A27-A32.

Chen, Y., D. Zhang, Z. Jin, X. Chen, S. Zu, W. Huang, and S. Gan, 2016, Simultaneous denoising and reconstruction of 5D seismic data via damped rank-reduction method: Geophysical Journal International, 206, no. 3, 1695-1717.

Cheng, J., and M. Sacchi, 2015, Separation and reconstruction of simultaneous source data via iterative rank reduction: Geophysics, 80, no. 4, V57-V66.

Chiu, S. K., 2013, Coherent and random noise attenuation via multichannel singular spectrum analysis in the randomized domain: Geophysical Prospecting, 61, 1-9.

Colominas, M. A., G. Schlotthauer, M. E. Torres, and P. Flandrin, 2012, Noise-assisted EMD methods in action: Adv. Adapt. Data Anal., 4, 1250025.

Eckart, C., and G. Young, 1936, The approximation of one matrix by another of lower rank: Psychometrika, 1, 211-218.

Fomel, S., and Y. Liu, 2010, Seislet transform and seislet frame: Geophysics, 75, no. 3, V25-V38.

Galbraith, M., 1991, Random noise attenuation by F-X prediction: A tutorial: 61st Annual International Meeting, SEG, Expanded Abstracts, 1428-1431.

Gao, J., J. Cheng, and M. D. Sacchi, 2017, Five-dimensional seismic reconstruction using parallel square matrix factorization: IEEE Transactions on Geoscience and Remote Sensing, 55, 2124-2135.

Gavish, M., and D. L. Donoho, 2014, The optimal hard threshold for singular values is 4/sqrt(3): IEEE Transactions on Information Theory, 60, 5040-5053.

Gilles, J., 2013, Empirical wavelet transform: IEEE Transaction on Signal Process, 61, 3999-4010.

Ginolhac, G., P. Forster, F. Pascal, and J.-P. Ovarlez, 2013, Performance of two low-rank stap filters in a heterogeneous noise: IEEE Transactions on Signal Processing, 61, 57-61.

Huang, N. E., Z. Shen, S. R. Long, M. C. Wu, H. H. Shih, Q. Zheng, N.-C. Yen, C. C. Tung, and H. H. Liu, 1998, The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis: Proceeding of the Royal Society of London Series A, 454, 903-995.

Huang, W., R. Wang, X. Chen, and Y. Chen, 2017, Double least squares projections method for signal estimation: IEEE Transactions on Geoscience and Remote Sensing, 55, no. 7, 4111-4129.

Huang, W., R. Wang, Y. Chen, H. Li, and S. Gan, 2016, Damped multichannel singular spectrum analysis for 3D random noise attenuation: Geophysics, 81, no. 4, V261-V270.

Huang, W., R.-S. Wu, and R. Wang, 2018, Damped dreamlet representation for exploration seismic data interpolation and denoising: IEEE Transactions on Geoscience and Remote Sensing, 56, no. 6, 3159-3172.

Li, C., G. Liu, Z. Hao, S. Zu, F. Mi, and X. Chen, 2018, Multidimensional seismic data reconstruction using frequency-domain adaptive prediction-error filter: IEEE Transactions on Geoscience and Remote Sensing, 56, no. 4, 2328-2336.

Li, S., B. Liu, Y. Ren, Y. Chen, S. Yang, Y. Wang, and P. Jiang, 2020, Deep learning inversion of seismic data: IEEE Transactions on Geoscience and Remote Sensing, 58, no. 3, 2135-2149.

Liu, G., and X. Chen, 2013, Noncausal f-x-y regularized nonstationary prediction filtering for random noise attenuation on 3D seismic data: Journal of Applied Geophysics, 93, 60-66.

Liu, G., X. Chen, J. Du, and J. Song, 2011, Seismic noise attenuation using nonstationary polynomial fitting: Applied Geophysics, 8, 18-26.

Liu, G., X. Chen, J. Du, and K. Wu, 2012, Random noise attenuation using f-x regularized nonstationary autoregression: Geophysics, 77, no. 2, V61-V69.

Mahdad, A., 2012, Deblending of seismic data: PhD thesis, Delft University of Technology.

Mousavi, S. M., C. A. Langston, and S. P. Horton, 2016, Automatic microseismic denoising and onset detection using the synchrosqueezed continuous wavelet transform: Geophysics, 81, no. 4, V341-V355.

Nadakuditi, R. R., 2013, Optshrink: An algorithm for improved low-rank signal matrix denoising by optimal, data-driven singular value shrinkage: IEEE Transactions on Information Theory, 60, 3002-3018.

Oropeza, V., and M. Sacchi, 2011, Simultaneous seismic data denoising and reconstruction via multichannel singular spectrum analysis: Geophysics, 76, no. 3, V25-V32.

Qiao, T., J. Ren, Z. Wang, J. Zabalza, M. Sun, H. Zhao, S. Li, J. A. Benediktsson, and Q. Dai, 2016, Effective denoising and classification of hyperspectral images using curvelet transform and singular spectrum analysis: IEEE Transactions on Geoscience and Remote Sensing, 99, 10.1109/TGRS.2016.2598065.

Siahsar, M. A. N., V. Abolghasemi, and Y. Chen, 2017a, Simultaneous denoising and interpolation of 2D seismic data using data-driven non-negative dictionary learning: Signal Processing, 141, 309-321.

Siahsar, M. A. N., S. Gholtashi, A. R. Kahoo, W. Chen, and Y. Chen, 2017b, Data-driven multi-task sparse dictionary learning for noise attenuation of 3D seismic data: Geophysics, 82, no. 6, V385–V396.

Trickett, S., 2008, F-xy Cadzow noise suppression: CSPG CSEG CWLS Convention, 303-306.

----, 2015, Preserving signal: Automatic rank determination for noise suppression, in SEG Technical Program Expanded Abstracts 2015: Society of Exploration Geophysicists, 4703-4707.

Trickett, S., and L. Burroughs, 2009, Prestack rank reducing noise suppression: Theory: SEG Technical Program Expanded Abstracts, 3332-3336.

Wang, C., Z. Zhu, and H. Gu, 2020, Low-rank seismic denoising with optimal rank selection for hankel matrices: Geophysical Prospecting, 68, 892-909.

Wang, C., Z. Zhu, H. Gu, X. Wu, and S. Liu, 2018, Hankel low-rank approximation for seismic noise attenuation: IEEE Transactions on Geoscience and Remote Sensing, 1-13.

Wu, J., and M. Bai, 2018, Adaptive rank-reduction method for seismic data reconstruction: Journal of Geophysics and Engineering, 15, 1688.

Wu, Z., and N. E. Huang, 2009, Ensemble empirical mode decomposition: A noise-assisted data analysis method: Advances in Adaptive Data Analysis, 1, no. 1, 1-41.

Zhang, D., Y. Zhou, H. Chen, W. Chen, S. Zu, , and Y. Chen, 2017, Hybrid rank-sparsity constraint model for simultaneous reconstruction and denoising of 3D seismic data: Geophysics, 82, no. 5, V351-V367.

Zhao, Q., Q. Du, X. Gong, and Y. Chen, 2018, Signal-preserving erratic noise attenuation via iterative robust sparsity-promoting filter: IEEE Transactions on Geoscience and Remote Sensing, 56, no. 6, 1558-0644.

Zhou, Y., J. Gao, W. Chen, and P. Frossard, 2016, Seismic simultaneous source separation via patchwise sparse representation: IEEE Transactions on Geoscience and Remote Sensing, 54, no. 9, 5271-5284.

Zhou, Y., and S. Zhang, 2017, Robust noise attenuation based on nuclear norm minimization and a trace prediction strategy: Journal of Applied Geophysics, 147, 52-67.

Zu, S., H. Zhou, W. Mao, D. Zhang, C. Li, X. Pan, and Y. Chen, 2017, Iterative deblending of simultaneous-source data using a coherency-pass shaping operator: Geophysical Journal International, 211, no. 1, 541-557.

Zu, S., H. Zhou, R. Ru, M. Jiang, and Y. Chen, 2019, Dictionary learning based on dip patch selection training for random noise attenuation: Geophysics, 84, no. 3, V169-V183.