| The curvelet transform: A review of curvelets and recent applications J Ma, G Plonka IEEE Signal Processing Magazine 27 (2), 118-133, 2010 | 668 | 2010 |
| Combined curvelet shrinkage and nonlinear anisotropic diffusion J Ma, G Plonka IEEE Transactions on Image processing 16 (9), 2198-2206, 2007 | 218 | 2007 |
| Approximation order provided by refinable function vectors G Plonka Constructive Approximation 13, 221-244, 1997 | 211 | 1997 |
| Regularity of refinable function vectors A Cohen, I Daubechies, G Plonka Journal of Fourier Analysis and Applications 3, 295-324, 1997 | 199 | 1997 |
| Numerical Fourier Analysis G Plonka, D Potts, G Steidl, M Tasche Birkhäuser, 2018 | 181 | 2018 |
| Construction of multiscaling functions with approximation and symmetry G Plonka, V Strela SIAM Journal on Mathematical Analysis 29 (2), 481-510, 1998 | 165 | 1998 |
| Curvelet-wavelet regularized split Bregman iteration for compressed sensing G Plonka, J Ma International Journal of Wavelets, Multiresolution and Information …, 2011 | 117 | 2011 |
| Fast and numerically stable algorithms for discrete cosine transforms G Plonka, M Tasche Linear Algebra and its Applications 394, 309-345, 2005 | 115 | 2005 |
| Nonlinear regularized reaction-diffusion filters for denoising of images with textures G Plonka, J Ma IEEE Transactions on Image processing 17 (8), 1283-1294, 2008 | 108 | 2008 |
| Prony methods for recovery of structured functions G Plonka, M Tasche GAMM‐Mitteilungen 37 (2), 239-258, 2014 | 106 | 2014 |
| A generalized Prony method for reconstruction of sparse sums of eigenfunctions of linear operators T Peter, G Plonka Inverse Problems 29 (2), 025001, 2013 | 106 | 2013 |
| Ambiguities in one-dimensional discrete phase retrieval from Fourier magnitudes R Beinert, G Plonka Journal of Fourier Analysis and Applications 21, 1169-1198, 2015 | 96 | 2015 |
| From wavelets to multiwavelets G Plonka, V Strela Mathematical Methods of Curves and Surfaces II, 1-25, 1998 | 85 | 1998 |
| A new hybrid method for image approximation using the easy path wavelet transform G Plonka, S Tenorth, D Rosca IEEE transactions on image processing 20 (2), 372-381, 2010 | 83 | 2010 |
| Sparse deconvolution methods for ultrasonic NDT: Application on TOFD and wall thickness measurements F Boßmann, G Plonka, T Peter, O Nemitz, T Schmitte Journal of Nondestructive Evaluation 31, 225-244, 2012 | 77 | 2012 |
| The easy path wavelet transform: a new adaptive wavelet transform for sparse representation of two-dimensional data G Plonka Multiscale Modeling & Simulation 7 (3), 1474-1496, 2009 | 72 | 2009 |
| Compressive video sampling with approximate message passing decoding J Ma, G Plonka, MY Hussaini IEEE Transactions on circuits and systems for video technology 22 (9), 1354-1364, 2012 | 64 | 2012 |
| On the computation of periodic spline wavelets G Plonka, M Tasche Applied and Computational Harmonic Analysis 2 (1), 1-14, 1995 | 63 | 1995 |
| A unified approach to periodic wavelets G Plonka, M Tasche Wavelet Analysis and its Applications 5, 137-151, 1994 | 59 | 1994 |
| A new sparse representation of seismic data using adaptive easy-path wavelet transform J Ma, G Plonka, H Chauris IEEE Geoscience and Remote Sensing Letters 7 (3), 540-544, 2010 | 58 | 2010 |
Jianwei MaProfessor, School of Earth and Space Sciences, Peking University; Harbin Institute of TechnologyVerified email at hit.edu.cn
