Compressed Sensing and Electron Microscopy
暂无分享,去创建一个
Wolfgang Dahmen | Ronald A. DeVore | Peter Binev | Philipp Lamby | R. DeVore | W. Dahmen | D. Savu | R. Sharpley | P. Binev | P. Lamby | Daniel Savu | Robert Sharpley
[1] Wang-Q Lim,et al. Compactly Supported Shearlets , 2010, 1009.4359.
[2] Christian Bender,et al. Error Criteria for Numerical Solutions of Backward SDEs , 2010 .
[3] Armin Iske,et al. Curvature analysis of frequency modulated manifolds in dimensionality reduction , 2011 .
[4] Wolfgang Dahmen,et al. Fast high-dimensional approximation with sparse occupancy trees , 2011, J. Comput. Appl. Math..
[5] E. Candes,et al. 11-magic : Recovery of sparse signals via convex programming , 2005 .
[6] Andrej Yu. Garnaev,et al. On widths of the Euclidean Ball , 1984 .
[7] Steffen Dereich,et al. Multilevel Monte Carlo algorithms for L\'{e}vy-driven SDEs with Gaussian correction , 2011, 1101.1369.
[8] Joel A. Tropp,et al. Greed is good: algorithmic results for sparse approximation , 2004, IEEE Transactions on Information Theory.
[9] L. S. Johnson,et al. Optimal Entropy Encoders For Mining MultiplyResolved Data , 2000 .
[10] Daniela Rosca,et al. A New Hybrid Method for Image Approximation Using the Easy Path Wavelet Transform , 2011, IEEE Transactions on Image Processing.
[11] G. Kutyniok,et al. Construction of Compactly Supported Shearlet Frames , 2010, 1003.5481.
[12] Erich Novak,et al. Optimal approximation of elliptic problems by linear and nonlinear mappings IV: Errors in L2 and other norms , 2004, J. Complex..
[13] Erich Novak,et al. The Curse of Dimensionality for Monotone and Convex Functions of Many Variables , 2010, 1011.3680.
[14] I. Daubechies,et al. Tree Approximation and Optimal Encoding , 2001 .
[15] Ronald A. DeVore,et al. Image compression through wavelet transform coding , 1992, IEEE Trans. Inf. Theory.
[16] O. L. Krivanek,et al. Sub-ångstrom resolution using aberration corrected electron optics , 2002, Nature.
[17] Wolfgang Hackbusch,et al. Tensorisation of vectors and their efficient convolution , 2011, Numerische Mathematik.
[18] Wolfgang Dahmen,et al. Convergence Rates for Greedy Algorithms in Reduced Basis Methods , 2010, SIAM J. Math. Anal..
[19] Deanna Needell,et al. CoSaMP: Iterative signal recovery from incomplete and inaccurate samples , 2008, ArXiv.
[20] O. Ernst,et al. ON THE CONVERGENCE OF GENERALIZED POLYNOMIAL CHAOS EXPANSIONS , 2011 .
[21] S. Muthukrishnan,et al. Approximation of functions over redundant dictionaries using coherence , 2003, SODA '03.
[22] Wolfgang Dahmen,et al. Adaptive Petrov-Galerkin Methods for First Order Transport Equations , 2011, SIAM J. Numer. Anal..
[23] Christian Bender,et al. Dual pricing of multi-exercise options under volume constraints , 2011, Finance Stochastics.
[24] K. Bredies,et al. Regularization with non-convex separable constraints , 2009 .
[25] Antonin Chambolle,et al. Nonlinear wavelet image processing: variational problems, compression, and noise removal through wavelet shrinkage , 1998, IEEE Trans. Image Process..
[26] Emmanuel J. Candès,et al. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information , 2004, IEEE Transactions on Information Theory.
[27] G. Teschke,et al. Compressive sensing principles and iterative sparse recovery for inverse and ill-posed problems , 2010 .
[28] Bin Dong,et al. Fast Linearized Bregman Iteration for Compressive Sensing and Sparse Denoising , 2011, ArXiv.
[29] R. DeVore,et al. Instance-optimality in probability with an ℓ1-minimization decoder , 2009 .
[30] Winfried Sickel,et al. Best m-term aproximation and tensor product of Sobolev and Besov spaces-the case of non-compact embeddings , 2010 .
[31] Earl J. Kirkland,et al. Advanced Computing in Electron Microscopy , 1998 .
[32] Karsten Urban,et al. Adaptive Wavelet Methods on Unbounded Domains , 2012, Journal of Scientific Computing.
[33] Lars Grasedyck,et al. Polynomial Approximation in Hierarchical Tucker Format by Vector – Tensorization , 2010 .
[34] Reinhold Schneider,et al. On manifolds of tensors of fixed TT-rank , 2012, Numerische Mathematik.
[35] Wang-Q Lim,et al. Shearlets on Bounded Domains , 2010, 1007.3039.
[36] Reinhold Schneider,et al. An analysis for the DIIS acceleration method used in quantum chemistry calculations , 2011 .
[37] R. DeVore,et al. Compressed sensing and best k-term approximation , 2008 .
[38] Markus Hansen,et al. On tensor products of quasi-Banach spaces , 2010 .
[39] P. Maass,et al. An analysis of electrical impedance tomography with applications to Tikhonov regularization , 2012 .
[40] H. Harbrecht,et al. On the low-rank approximation by the pivoted Cholesky decomposition , 2012 .
[41] Emmanuel J. Candès,et al. Decoding by linear programming , 2005, IEEE Transactions on Information Theory.
[42] Jerome M. Shapiro,et al. Embedded image coding using zerotrees of wavelet coefficients , 1993, IEEE Trans. Signal Process..
[43] Nigel D. Browning,et al. Practical aspects of atomic resolution imaging and analysis in STEM , 1999 .
[44] E. Novak,et al. Optimal Order of Convergence and (In)Tractability of Multivariate Approximation of Smooth Functions , 2009 .
[45] Wolfgang Dahmen,et al. Adaptivity and variational stabilization for convection-diffusion equations∗ , 2012 .
[46] L. Bregman. The relaxation method of finding the common point of convex sets and its application to the solution of problems in convex programming , 1967 .
[47] Armin Iske,et al. Adaptive ADER Methods Using Kernel-Based Polyharmonic Spline WENO Reconstruction , 2010, SIAM J. Sci. Comput..
[48] G. Teschke,et al. Accelerated projected steepest descent method for nonlinear inverse problems with sparsity constraints , 2010 .
[49] Lutz Kämmerer,et al. Interpolation lattices for hyperbolic cross trigonometric polynomials , 2012, J. Complex..
[50] Stephan Dahlke,et al. An adaptive wavelet method for parameter identification problems in parabolic partial differential equations , 2022 .
[51] Stanley Osher,et al. Development and Optimization of Regularized Tomographic Reconstruction Algorithms Utilizing Equally-Sloped Tomography , 2010, IEEE Transactions on Image Processing.
[52] Gabriele Steidl,et al. Shearlet Coorbit Spaces: Compactly Supported Analyzing Shearlets, Traces and Embeddings , 2011 .
[53] P. Midgley,et al. Electron tomography of nanoparticle catalysts on porous supports: A new technique based on Rutherford scattering , 2001 .
[54] Christian Bender,et al. Primal and Dual Pricing of Multiple Exercise Options in Continuous Time , 2011, SIAM J. Financial Math..
[55] Klaus Ritter,et al. Spatial Besov Regularity for Stochastic Partial Differential Equations on Lipschitz Domains , 2010, 1011.1814.
[56] Sadegh Jokar,et al. Sparse recovery and Kronecker products , 2010, 2010 44th Annual Conference on Information Sciences and Systems (CISS).
[57] Konstantin Grella,et al. Sparse tensor spherical harmonics approximation in radiative transfer , 2011, J. Comput. Phys..
[58] H. Yserentant,et al. On the Complexity of the Electronic Schrödinger Equation , 2022 .
[59] Klaus Ritter,et al. Derandomization of the Euler scheme for scalar stochastic differential equations , 2012, J. Complex..
[60] Tobias Jahnke,et al. On Reduced Models for the Chemical Master Equation , 2011, Multiscale Model. Simul..
[61] Emmanuel J. Candès,et al. NESTA: A Fast and Accurate First-Order Method for Sparse Recovery , 2009, SIAM J. Imaging Sci..
[62] K. Ritter,et al. Adaptive Wavelet Methods for Elliptic Stochastic Partial Differential Equations , 2022 .
[63] Winfried Sickel,et al. Best m-term approximation and Lizorkin-Triebel spaces , 2011, J. Approx. Theory.
[64] H. Sawada,et al. STEM imaging of 47-pm-separated atomic columns by a spherical aberration-corrected electron microscope with a 300-kV cold field emission gun. , 2009, Journal of electron microscopy.
[65] Vladimir Temlyakov,et al. CAMBRIDGE MONOGRAPHS ON APPLIED AND COMPUTATIONAL MATHEMATICS , 2022 .
[66] Wolfgang Dahmen,et al. Super-Resolution Image Reconstruction by Nonlocal Means Applied to High-Angle Annular Darkfield Scanning Transmission Electron Microscopy (HAADF-STEM) , 2009 .
[67] Stephan Dahlke,et al. Adaptive wavelet methods and sparsity reconstruction for inverse heat conduction problems , 2010, Adv. Comput. Math..
[68] G. Teschke,et al. A compressive Landweber iteration for solving ill-posed inverse problems , 2008 .
[69] Winfried Sickel,et al. Best m-Term Approximation and Sobolev–Besov Spaces of Dominating Mixed Smoothness—the Case of Compact Embeddings , 2012 .
[70] R. Schneider,et al. The Alternating Linear Scheme for Tensor Optimisation in the TT Format , 2022 .
[71] N. Baba,et al. An auto-tuning method for focusing and astigmatism correction in HAADF-STEM, based on the image contrast transfer function. , 2001, Journal of electron microscopy.
[72] G. Plonka. The Easy Path Wavelet Transform: A New Adaptive Wavelet Transform for Sparse Representation of Two-Dimensional Data , 2009 .
[73] Bernd Kabius,et al. Electron microscopy image enhanced , 1998, Nature.
[74] Erwan Faou,et al. Computing Semiclassical Quantum Dynamics with Hagedorn Wavepackets , 2009, SIAM J. Sci. Comput..
[75] Andreas Zeiser,et al. Wavelet Approximation in Weighted Sobolev Spaces of Mixed Order with Applications to the Electronic Schrödinger Equation , 2012 .
[76] I. Daubechies,et al. Iteratively reweighted least squares minimization for sparse recovery , 2008, 0807.0575.
[77] Wang-Q Lim,et al. Image Separation Using Shearlets , 2011 .
[78] W. Hackbusch,et al. Black Box Low Tensor-Rank Approximation Using Fiber-Crosses , 2009 .
[79] Dirk A. Lorenz,et al. Beyond convergence rates: exact recovery with the Tikhonov regularization with sparsity constraints , 2010, 1001.3276.
[80] N. F. F. Ebecken,et al. Data mining II , 2000 .
[81] E. Novak,et al. On the power of function values for the approximation problem in various settings , 2010, 1011.3682.
[82] R. DeVore,et al. Instance optimal decoding by thresholding in compressed sensing , 2008 .
[83] Daniel Rudolf,et al. Error bounds for computing the expectation by Markov chain Monte Carlo , 2009, Monte Carlo Methods Appl..
[84] Ting Sun,et al. Single-pixel imaging via compressive sampling , 2008, IEEE Signal Process. Mag..
[85] S. Dereich,et al. Constructive quantization: Approximation by empirical measures , 2011, 1108.5346.
[86] D. Lorenz,et al. Greedy solution of ill-posed problems: error bounds and exact inversion , 2009, 0904.0154.
[87] Y. Nesterov. A method for unconstrained convex minimization problem with the rate of convergence o(1/k^2) , 1983 .
[88] Fred J. Hickernell,et al. Deterministic multi-level algorithms for infinite-dimensional integration on RN , 2011, J. Complex..
[89] Christian Bender,et al. Least-Squares Monte Carlo for Backward SDEs , 2012 .
[90] Wotao Yin,et al. An Iterative Regularization Method for Total Variation-Based Image Restoration , 2005, Multiscale Model. Simul..
[91] I. Daubechies,et al. Tree Approximation and Encoding , 1999 .
[92] Yurii Nesterov,et al. Smooth minimization of non-smooth functions , 2005, Math. Program..
[93] E. Candès,et al. Stable signal recovery from incomplete and inaccurate measurements , 2005, math/0503066.
[94] Harry Yserentant,et al. The mixed regularity of electronic wave functions multiplied by explicit correlation factors , 2011 .
[95] Michael Elad,et al. L1-L2 Optimization in Signal and Image Processing , 2010, IEEE Signal Processing Magazine.