zbMath1170.94003MaRDI QIDQ3634482
Stephane Mallat
Publication date: 25 June 2009
Full work available at URL: http://www.sciencedirect.com/science/book/9780123743701
Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jump detection in high-frequency financial data using wavelets,
Monogenic wavelet scattering network for texture image classification,
Tensors in computations,
\(\mathrm{L_1RIP}\)-based robust compressed sensing,
Reconstruction of smooth shape defects in waveguides using locally resonant frequencies,
Signal approximations based on nonlinear and optimal piecewise affine functions,
The norm of time-frequency and wavelet localization operators,
Existence of uncertainty minimizers for the continuous wavelet transform,
Control of multi-agent systems: results, open problems, and applications,
Determination of compactly supported functions in shift-invariant space by single-angle Radon samples,
Multivariate wavelet estimators for weakly dependent processes: strong consistency rate,
Large-Scale Nonconvex Optimization: Randomization, Gap Estimation, and Numerical Resolution,
Wavelet block thresholding for copula density estimation under biased sampling,
Wavelet regularization benefits adversarial training,
Spectra in low‐rank localized layers (SpeLLL) for interpretable time–frequency analysis,
Penalized wavelet nonparametric univariate logistic regression for irregular spaced data,
Continuity properties of the shearlet transform and the shearlet synthesis operator on the Lizorkin type spaces,
Wavelet-packets for deepfake image analysis and detection,
Inequalities on the closeness of two vectors in a Parseval frame,
Real analysis without using the Hardy–Littlewood maximal operator,
Unnamed Item,
Huberization image restoration model from incomplete multiplicative noisy data,
Hermite multiwavelets for manifold-valued data,
Stability of the scattering transform for deformations with minimal regularity,
The MLE is a reliable source: sharp performance guarantees for localization problems,
Sampling rates for \(\ell^1\)-synthesis,
Just least squares: binary compressive sampling with low generative intrinsic dimension,
Assessment of a symmetry-preserving JFNK method for atmospheric convection,
Full recovery from point values: an optimal algorithm for Chebyshev approximability prior,
Wavelet Monte Carlo: a principle for sampling from complex distributions,
Spectral graph wavelet packets frames,
Power spectrum unbiasing for dilation-invariant multi-reference alignment,
Non compact estimation of the conditional density from direct or noisy data,
Influencia en la detección de patrones de la solución del sistema no lineal en una Transformada Shapelet discreta II,
Stability of the Faber-Krahn inequality for the short-time Fourier transform,
Bayes in action in deep learning and dictionary learning,
Hybrid scheme for Brownian semistationary processes,
Unnamed Item,
Duality for frames,
A spectral series approach to high-dimensional nonparametric regression,
Multiscale Factorization of the Wave Equation with Application to Compressed Sensing Photoacoustic Tomography,
Learning Maximally Monotone Operators for Image Recovery,
Approximate Solutions to Fractional Boundary Value Problems by Wavelet Decomposition Methods,
Wavelet B-Splines Bases on the Interval for Solving Boundary Value Problems,
Using the Wavelet Transform for Time Series Analysis,
Parallel Transport Convolution: Deformable Convolutional Networks on Manifold-Structured Data,
Recovering Wavelet Coefficients from Binary Samples Using Fast Transforms,
Signal Decomposition Using Masked Proximal Operators,
Bayesian hierarchical dictionary learning,
Coherent vorticity and current density simulation of three-dimensional magnetohydrodynamic turbulence using orthogonal wavelets,
Order statistics of vectors with dependent coordinates, and the Karhunen-Loève basis,
Learning and sparse control of multiagent systems,
Nonuniform sampling and approximation in Sobolev space from perturbation of the framelet system,
Natural graph wavelet packet dictionaries,
A mathematical model for file fragment diffusion and a neural predictor to manage priority queues over \textsc{BitTorrent},
Fast and efficient numerical methods for an extended Black-Scholes model,
Anisotropy in wavelet-based phase field models,
Application of cubic box spline wavelets in the analysis of signal singularities,
A wavelet based numerical simulation technique for two-phase flows using the phase field method,
Analysis and classification of natural rock textures based on new transform-based features,
Image denoising by generalized total variation regularization and least squares fidelity,
Nonparametric estimation of a quantile density function by wavelet methods,
Sparse principal component analysis and iterative thresholding,
Generalized fractal transforms and self-similar objects in cone metric spaces,
Divergence-free wavelets and high order regularization,
Nonlinear approximation with nonstationary Gabor frames,
ROI reconstruction from truncated cone-beam projections,
Characterizations of families of rectangular, finite impulse response, para-unitary systems,
Reliable root detection with the qd-algorithm: When Bernoulli, Hadamard and Rutishauser cooperate,
Testing for significance of phase synchronisation dynamics in the EEG,
A hybrid method using wavelets for the numerical solution of boundary value problems on the interval,
Wavelet compressive sampling signal reconstruction using upside-down tree structure,
Nonhomogeneous wavelet systems in high dimensions,
Efficient and accurate rotation of finite spherical harmonics expansions,
Analysis \(\ell_1\)-recovery with frames and Gaussian measurements,
An iterative algorithm for sparse and constrained recovery with applications to divergence-free current reconstructions in magneto-encephalography,
Window-dependent bases for efficient representations of the Stockwell transform,
Iterative regularization via dual diagonal descent,
A two-level method for sparse time-frequency representation of multiscale data,
Demystifying the asymptotic behavior of global denoising,
Equidistributed icosahedral configurations on the sphere,
Classification via local multi-resolution projections,
Non-asymptotic approach to varying coefficient model,
Spatial images feature extraction based on Bayesian nonlocal means filter and improved contourlet transform,
Adaptive binary arithmetic coder-based image feature and segmentation in the compressed domain,
Filters for anisotropic wavelet decompositions,
Edge detection methods based on RBF interpolation,
Semi-regular Dubuc-Deslauriers wavelet tight frames,
Block orthogonal greedy algorithm for stable recovery of block-sparse signal representations,
A short note on compressed sensing with partially known signal support,
On the adaptive wavelet deconvolution of a density for strong mixing sequences,
Continuous shearlet frames and resolution of the wavefront set,
The nonexistence of shearlet scaling functions,
Identification of protein coding regions in the eukaryotic DNA sequences based on marple algorithm and wavelet packets transform,
Construction of bivariate nonseparable compactly supported orthogonal wavelets,
Adaptive estimation of an additive regression function from weakly dependent data,
Sparse time-frequency representation of nonlinear and nonstationary data,
Maximal solutions of sparse analysis regularization,
Global testing under sparse alternatives: ANOVA, multiple comparisons and the higher criticism,
Nonparametric estimation of a two dimensional continuous-discrete density function by wavelets,
Reproducing subgroups of \(Sp(2,\mathbb{R})\). I: Algebraic classification,
Operator-like wavelet bases of \(L_{2}(\mathbb{R}^{d})\),
A consistent and stable approach to generalized sampling,
Some new asymptotic theory for least squares series: pointwise and uniform results,
Divergence free polar wavelets for the analysis and representation of fluid flows,
Measuring and moderating opinion polarization in social networks,
Manifold learning with arbitrary norms,
Scaling functions generating fractional Hilbert transforms of a wavelet function,
Universal sieve-based strategies for efficient estimation using machine learning tools,
Signal analysis based on complex wavelet signs,
Generalized sampling reconstruction from Fourier measurements using compactly supported shearlets,
A blind digital image watermarking method based on the dyadic wavelet transform and interval arithmetic,
Sparse signal recovery with prior information by iterative reweighted least squares algorithm,
A convex variational model for learning convolutional image atoms from incomplete data,
Asymptotic properties of a component-wise ARH(1) plug-in predictor,
A new construction of boundary interpolating wavelets for fourth order problems,
A modified greedy analysis pursuit algorithm for the cosparse analysis model,
Dictionary evaluation and optimization for sparse coding based speech processing,
A note on the adaptive estimation of a conditional continuous-discrete multivariate density by wavelet methods,
Random forests and networks analysis,
Nonlinear sequence transformation-based continuous-time wavelet filter approximation,
Phaseless sampling and reconstruction of real-valued signals in shift-invariant spaces,
Iterative algorithms for total variation-like reconstructions in seismic tomography,
A collocation method for the numerical solution of nonlinear fractional dynamical systems,
Data-driven Thresholding in Denoising with Spectral Graph Wavelet Transform,
A curvelet method for numerical solution of partial differential equations,
Wavelet transforms on Gelfand-Shilov spaces and concrete examples,
A wavelet frame approach for removal of mixed Gaussian and impulse noise on surfaces,
Using a natural deconvolution for analysis of perturbed integer sampling in shift-invariant spaces,
Pairs of frequency-based nonhomogeneous dual wavelet frames in the distribution space,
Processing MUSE hyperspectral data: denoising, deconvolution and detection of astrophysical sources,
Solving chemical master equations by adaptive wavelet compression,
Wavelet-based feature extraction using probabilistic finite state automata for pattern classification,
Homogeneous wavelets and framelets with the refinable structure,
Harmonic wavelet transform and image approximation,
A block coordinate variable metric forward-backward algorithm,
Crack detection near the ends of a beam using wavelet transform and high resolution beam deflection measurement,
High-dimensional index volatility models via Stein's identity,
Taylor wavelet collocation method for Benjamin-Bona-Mahony partial differential equations,
Wavelet analysis of the Besov regularity of Lévy white noise,
Illumination problems in digital images. A statistical point of view,
An optimally concentrated Gabor transform for localized time-frequency components,
Wavelet-domain regression and predictive inference in psychiatric neuroimaging,
An approximate wavelets solution to the class of variational problems with fractional order,
The near shift-invariance of the dual-tree complex wavelet transform revisited,
A quasilinear complexity algorithm for the numerical simulation of scattering from a two-dimensional radially symmetric potential,
Nonhomogeneous wavelet dual frames and extension principles in reducing subspaces,
Multivariate wavelet density and regression estimators for stationary and ergodic continuous time processes: asymptotic results,
The first-order necessary conditions for sparsity constrained optimization,
Estimation of a delta-contaminated density of a random intensity of Poisson data,
Wavelet adaptive proper orthogonal decomposition for large-scale flow data,
Influence of Gibbs phenomenon on the mutual coherence in sparse representations,
Fuzzy bounded operators with application to Radon transform,
Wavelet linear density estimation for associated stratified size-biased sample,
Separation of perfusion phases in angiographies,
Explicit construction of wavelet frames on locally compact abelian groups,
Fast Gaussian wavepacket transforms and Gaussian beams for the Schrödinger equation,
Particle gradient descent model for point process generation,
Nonparametric Wavelet Regression Based on Biased Data,
Two-dimensional Shannon wavelet inverse Fourier technique for pricing European options,
Regularization and numerical solution of the inverse scattering problem using shearlet frames,
Adaptive directional Haar tight framelets on bounded domains for digraph signal representations,
Efficient FPGA architecture of optimized Haar wavelet transform for image and video processing applications,
\(\ell^1\)-analysis minimization and generalized (co-)sparsity: when does recovery succeed?,
A generative model for fBm with deep ReLU neural networks,
The Faber-Krahn inequality for the short-time Fourier transform,
Multiscale parameterisation of passive scalars via wavelet-based numerical homogenisation,
Phase retrieval of real-valued signals in a shift-invariant space,
Pricing early-exercise and discrete barrier options by Shannon wavelet expansions,
Convergence of regularization methods with filter functions for a regularization parameter chosen with GSURE and mildly ill-posed inverse problems,
A wavelet based rationalized approach for the numerical solution of differential and integral equations,
Theoretical analysis of time-reassigned synchrosqueezing wavelet transform,
BPS states, conserved charges and centres of symmetric group algebras,
The Littlewood-Paley theory: a common thread of many works in nonlinear analysis,
Introducing the windowed Fourier frames technique for obtaining the approximate solution of the coupled system of differential equations,
Generalized ridge reconstruction approaches toward more accurate signal estimate,
Optimal nonlinear signal approximations based on piecewise constant functions,
Robust multiscale analytic sampling approximation to periodic function and fast algorithm,
Fourier series windowed by a bump function,
Phase transitions in rate distortion theory and deep learning,
Geological facies recovery based on weighted \(\ell_1\)-regularization,
Image Restoration: A General Wavelet Frame Based Model and Its Asymptotic Analysis,
Primal-dual splittings as fixed point iterations in the range of linear operators,
The uncertainty principle for the short-time Fourier transform on finite cyclic groups: cases of equality,
Do log factors matter? On optimal wavelet approximation and the foundations of compressed sensing,
BREAKING THE COHERENCE BARRIER: A NEW THEORY FOR COMPRESSED SENSING,
An automatic \(L_1\)-based regularization method for the analysis of FFC dispersion profiles with quadrupolar peaks,
Multivariate wavelet density and regression estimators for stationary and ergodic discrete time processes: Asymptotic results,
A review on deep learning in medical image reconstruction,
A note on wavelet estimation of the derivatives of a regression function in a random design setting,
Extreme value analysis of empirical frame coefficients and implications for denoising by soft-thresholding,
Lifting of quaternionic frames to higher dimensions with partial ridges,
Boundary identification and surface updates using MWD,
On the estimation of entropy for non-negative data,
Fully smoothed \(\ell_1\)-\(TV\) models: bounds for the minimizers and parameter choice,
Conditional toggle mappings: principles and applications,
Data-driven time-frequency analysis,
Convergence of a data-driven time-frequency analysis method,
A general result on the mean integrated squared error of the hard thresholding wavelet estimator under \(\alpha\)-mixing dependence,
Tight framelets and fast framelet filter bank transforms on manifolds,
Square functions and uniform rectifiability,
A generalized model for relative phases based on bilinear representation of natural image series,
Faster gradient descent and the efficient recovery of images,
A TGV-Based Framework for Variational Image Decompression, Zooming, and Reconstruction. Part I: Analytics,
A TGV-Based Framework for Variational Image Decompression, Zooming, and Reconstruction. Part II: Numerics,
Sparse Wavelet Representations of Spatially Varying Blurring Operators,
Average derivative estimation from biased data,
Low Complexity Regularization of Linear Inverse Problems,
A Practical Guide to the Recovery of Wavelet Coefficients from Fourier Measurements,
Bandwidth selection in kernel empirical risk minimization via the gradient,
Data-driven tight frame for multi-channel images and its application to joint color-depth image reconstruction,
Distributed and consensus optimization for non-smooth image reconstruction,
The model and construction of weak IMFs,
A class of warped filter bank frames tailored to non-linear frequency scales,
A new approach to the real-time assessment of the clear-sky direct normal irradiance,
Flexible, boundary adapted, nonparametric methods for the estimation of univariate piecewise-smooth functions,
Multiscale clustering for functional data,
Bayesian deconvolution and quantification of metabolites from \(J\)-resolved NMR spectroscopy,
A linearly convergent algorithm without prior knowledge of operator norms for solving \(\ell_1 - \ell_2\) minimization,
Nonsmooth sparsity constrained optimization problems: optimality conditions,
ShearLab 3D,
A network traffic prediction model based on quantum-behaved particle swarm optimization algorithm and fuzzy wavelet neural network,
Two simple shearlet-based inverses for the multidimensional Radon and John transforms,
Windowed Fourier frames to approximate two-point boundary value problems,
A NEW REFINEMENT WAVELET–GALERKIN METHOD IN A SPLINE LOCAL MULTIRESOLUTION ANALYSIS SCHEME FOR BOUNDARY VALUE PROBLEMS,
Frames induced by the action of continuous powers of an operator,
Level-dependent interpolatory Hermite subdivision schemes and wavelets,
Feature extraction for functional time series: theory and application to NIR spectroscopy data,
Smoothing for signals with discontinuities using higher order Mumford-Shah models,
SPARSE RECONSTRUCTION OF HARDY SIGNAL AND APPLICATIONS TO TIME-FREQUENCY DISTRIBUTION,
Identification and wavelet estimation of weighted ATE under discontinuous and kink incentive assignment mechanisms,
Continuous warped time-frequency representations. Coorbit spaces and discretization,
A class of algorithms for continuous wavelet transform based on the circulant matrix,
Orthogonal matched wavelets with vanishing moments: a sparsity design approach,
Quasi Monte Carlo time-frequency analysis,
Support vector regression based on grid-search method for short-term wind power forecasting,
LCT-WAVELET BASED ALGORITHMS FOR DATA COMPRESSION,
A solution for the greedy approximation of a step function with a waveform dictionary,
Penalized wavelet estimation and robust denoising for irregular spaced data,
On the existence of optimizers for time-frequency concentration problems,
Wavelet-Based Density Estimation in a Heteroscedastic Convolution Model,
Regularization of inverse problems by filtered diagonal frame decomposition,
Convex multiclass segmentation with shearlet regularization,
Atmospheric radar imaging improvements using compressed sensing and MIMO,
Explicit multivariate approximations from cell-average data,
DISCRETE WAVELET TRANSFORM OF FINITE SIGNALS: DETAILED STUDY OF THE ALGORITHM,
Data-driven multi-scale non-local wavelet frame construction and image recovery,
SIP Xd-frames and their perturbations in uniformly convex Banach spaces,
Wavelet projection methods for solving pseudodifferential inverse problems,
Linearized Riesz transform and quasi-monogenic shearlets,
Clustering of inertial particles in turbulent flow through a porous unit cell,
Regularization graphs—a unified framework for variational regularization of inverse problems,
WARPd: A Linearly Convergent First-Order Primal-Dual Algorithm for Inverse Problems with Approximate Sharpness Conditions,
Reproducing pairs and the continuous nonstationary Gabor transform on LCA groups,
A Degenerate Parabolic Logistic Equation,
Fast and Slow Boundary Oscillations in a Thin Domain,
Weak Solutions to a Nonuniformly Elliptic PDE System in the Harmonic Regime,
A blind digital image watermarking method based on the dyadic wavelet packet transform and fast interval arithmetic techniques,
Robust Decoding from 1-Bit Compressive Sampling with Ordinary and Regularized Least Squares,
A backward approach to certain class of transport equations in any dimension based on the Shannon sampling theorem,
The degree of Stiefel manifolds,
Book Review: A mathematical introduction to compressive sensing,
Wavelet-based estimation of regression function for dependent biased data under a given random design,
The Quest for Optimal Sampling: Computationally Efficient, Structure-Exploiting Measurements for Compressed Sensing,
A Generative Variational Model for Inverse Problems in Imaging,
Sensitivity Analysis for Mirror-Stratifiable Convex Functions,
Continuous Empirical Wavelets Systems,
An Efficient Algorithm for Video Superresolution Based on a Sequential Model,
The Use of Representations in Applied Harmonic Analysis,
Compressive Imaging and Characterization of Sparse Light Deflection Maps,
A machine learning approach to optimal Tikhonov regularization I: Affine manifolds,
Parseval transforms for finite frames,
Adaptive wavelet estimation of a function from an m-dependent process with possibly unbounded m,
Information theoretic limits of learning a sparse rule,
Coupled regularization with multiple data discrepancies,
Filter banks on discrete abelian groups,
Image restoration: Total variation, wavelet frames, and beyond,
Slope heuristics and V-Fold model selection in heteroscedastic regression using strongly localized bases,
A Wavelet Plancherel Theory with Application to Multipliers and Sparse Approximations,
Wavelet-based LASSO in functional linear quantile regression,
Sparse Time-Frequency Decomposition for Multiple Signals with Same Frequencies,
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A Galerkin Least Squares Approach for Photoacoustic Tomography,
NETT: solving inverse problems with deep neural networks,
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A region-based easy-path wavelet transform for sparse image representation,
Smoothness of refinable function vectors on ℝn,
Efficient regularization with wavelet sparsity constraints in photoacoustic tomography,
Sparse dynamic tomography: a shearlet-based approach for iodine perfusion in plant stems,
Multi-scale proper orthogonal decomposition of complex fluid flows,
Delay Differential Analysis of Time Series,
Delay Differential Analysis of Electroencephalographic Data,
A Mathematical Motivation for Complex-Valued Convolutional Networks,
Learning the invisible: a hybrid deep learning-shearlet framework for limited angle computed tomography,
Topological data analysis for true step detection in periodic piecewise constant signals,
A tree-based dictionary learning framework,
An Introduction to Compressed Sensing,
On Reconstructing Functions from Binary Measurements,
Spectral graph wavelet optimized finite difference method for solution of Burger's equation with different boundary conditions,
Multiscale Discrete Framelet Transform for Graph-Structured Signals,
Reconstruction of analytic signal in Sobolev space by framelet sampling approximation,
Bessel Sequences and Its F-Scalability,
Seismic inversion constrained by stress value changes,
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Persistent homology for low-complexity models,
The Trimmed Lasso: Sparse Recovery Guarantees and Practical Optimization by the Generalized Soft-Min Penalty,
Approximation from Noisy Data,
AN ENTROPY BASED IN WAVELET LEADERS TO QUANTIFY THE LOCAL REGULARITY OF A SIGNAL AND ITS APPLICATION TO ANALIZE THE DOW JONES INDEX,
An Improved Sliding‐Mode Repetitive Learning Control Scheme Using Wavelet Transform,
Wavelet Scattering Regression of Quantum Chemical Energies,
Wavelet Galerkin method for fourth-order multi-dimensional elliptic partial differential equations,
PET-MRI Joint Reconstruction by Joint Sparsity Based Tight Frame Regularization,
A kernel approach to deconvolution of the complex modulus in linear viscoelasticity,
Cryo-EM reconstruction of continuous heterogeneity by Laplacian spectral volumes,
Approximate Solution of Higher Order Two Point Boundary Value Problems Using Uniform Haar Wavelet Collocation Method,
Structure and Optimisation in Computational Harmonic Analysis: On Key Aspects in Sparse Regularisation,
Tensor Least Angle Regression for Sparse Representations of Multidimensional Signals,
A Multiscale Neural Network Based on Hierarchical Matrices,
Using Wavelet Techniques to Approximate the Subjacent Risk of Death,
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Sparse stabilization and control of alignment models,
Weak-Type Estimates for the Metaplectic Representation Restricted to the Shearing and Dilation Subgroup of $$SL(2,\mathbb {R})$$,
Modern regularization methods for inverse problems,
Solving inverse problems using data-driven models,
Frames and Numerical Approximation,
ADAPTIVE DATA ANALYSIS VIA SPARSE TIME-FREQUENCY REPRESENTATION,
Scalable Bayesian Uncertainty Quantification in Imaging Inverse Problems via Convex Optimization,
Whole Brain Susceptibility Mapping Using Harmonic Incompatibility Removal,
An algorithm for Morlet wavelet transform based on generalized discrete Fourier transform,
Variable Metric Forward-Backward Algorithm for Composite Minimization Problems,
Performance of reconstruction factors for a class of new complex continuous wavelets,
Projected Newton method for noise constrained Tikhonov regularization,
Phases of modified Stockwell transforms and instantaneous frequencies,
Wavelet-Based Methods for High-Frequency Lead-Lag Analysis,
On the Role of Total Variation in Compressed Sensing,
Linear Stable Sampling Rate: Optimality of 2D Wavelet Reconstructions from Fourier Measurements,
Uncertainty principles for the continuous wavelet transform in the Hankel setting,
An uncertainty principle for the basic wavelet transform,
Signal representations via SIP p-frames and SIP Bessel multipliers in separable Banach spaces,
Compressive Sampling for Energy Spectrum Estimation of Turbulent Flows,
On MISE of a Non linear Wavelet Estimator of the Regression Function Based on Biased Data under Strong Mixing,
Forecasting Study of Shanghai’s and Shenzhen’s Stock Markets Using a Hybrid Forecast Method,
On the Uniqueness of Sparse Time-Frequency Representation of Multiscale Data,
A Tale of Two Bases: Local-Nonlocal Regularization on Image Patches with Convolution Framelets,
A NONLOCAL LOW-RANK REGULARIZATION METHOD FOR FRACTAL IMAGE CODING,
Continuous Multiwavelet Transform for Blind Signal Separation,
High-Dimensional Gaussian Sampling: A Review and a Unifying Approach Based on a Stochastic Proximal Point Algorithm,
A note on the adaptive estimation of the differential entropy by wavelet methods,
Some results on wavelet scalograms