Applied and Computational Harmonic Analysis

Papers
(The median citation count of Applied and Computational Harmonic Analysis is 2. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)
ArticleCitations
Spectrality of self-affine Sierpinski-type measures on R55
Graph convolutional neural networks via scattering52
Adaptive synchrosqueezing transform with a time-varying parameter for non-stationary signal separation52
Aliasing error of the exp(β<39
Loss landscapes and optimization in over-parameterized non-linear systems and neural networks39
Fractional Fourier transforms on L and applications39
Reproducing kernel Hilbert space compactification of unitary evolution groups35
Stable super-resolution limit and smallest singular value of restricted Fourier matrices31
Uniqueness of STFT phase retrieval for bandlimited functions25
Time-scale-chirp_rate operator for recovery of non-stationary signal components with crossover instantaneous frequency curves25
Wigner analysis of operators. Part I: Pseudodifferential operators and wave fronts23
A sharp upper bound for sampling numbers in L223
Generalization error of random feature and kernel methods: Hypercontractivity and kernel matrix concentration23
Improved bounds for the eigenvalues of prolate spheroidal wave functions and discrete prolate spheroidal sequences21
Spectral convergence of graph Laplacian and heat kernel reconstruction in L∞ from random samples20
High-order approximation rates for shallow neural networks with cosine and ReLU activation functions19
Estimation under group actions: Recovering orbits from invariants19
ℓ1-Analysis minimization and generalized (co-)sparsity: When does recovery succeed?18
Signal separation based on adaptive continuous wavelet-like transform and analysis18
Time-frequency transforms of white noises and Gaussian analytic functions17
Near-optimal performance bounds for orthogonal and permutation group synchronization via spectral methods17
The universal approximation theorem for complex-valued neural networks17
Spectrality of generalized Sierpinski-type self-affine measures16
Improved spectral convergence rates for graph Laplacians on ε-graphs and k-NN graphs16
Analysis of the ratio of ℓ1 and ℓ2 norms in compressed sensing16
Low-rank matrix recovery via regularized nuclear norm minimization16
Graph Fourier transform based on ℓ1 norm variation minimization16
Riesz transform associated with the fractional Fourier transform and applications in image edge detection16
Maximum entropy models from phase harmonic covariances15
Random sampling and reconstruction of concentrated signals in a reproducing kernel space14
Generalization bounds for sparse random feature expansions14
A mathematical theory of the computational resolution limit in one dimension14
Defining the wavelet bispectrum13
A necessary and sufficient condition for sparse vector recovery via ℓ1 − ℓ2 minimization13
Wavelet characterization of Besov and Triebel–Lizorkin spaces on spaces of homogeneous type and its applications13
Wavelet thresholding for recovery of active sub-signals of a composite signal from its discrete samples13
Compactly supported quasi-tight multiframelets with high balancing orders and compact framelet transforms12
Convex optimization in sums of Banach spaces12
Neural collapse under cross-entropy loss12
Quasi-projection operators in weighted L spaces12
Disentangling modes with crossover instantaneous frequencies by synchrosqueezed chirplet transforms, from theory to application11
Constructive subsampling of finite frames with applications in optimal function recovery11
Injectivity of Gabor phase retrieval from lattice measurements11
High-dimensional sparse FFT based on sampling along multiple rank-1 lattices11
Rician noise removal via weighted nuclear norm penalization11
Gabor phase retrieval is severely ill-posed11
Sparse non-negative super-resolution — simplified and stabilised11
Regularization of inverse problems by filtered diagonal frame decomposition10
Sparse recovery in bounded Riesz systems with applications to numerical methods for PDEs10
Harmonic analysis on directed graphs and applications: From Fourier analysis to wavelets10
Differentially private SGD with non-smooth losses10
Analysis and algorithms for ℓ-based semi-supervised learning on graphs10
Solving phase retrieval with random initial guess is nearly as good as by spectral initialization10
A fast simple algorithm for computing the potential of charges on a line10
Transferability of graph neural networks: An extended graphon approach10
Diffusion K-means clustering on manifolds: Provable exact recovery via semidefinite relaxations9
Infinite dimensional compressed sensing from anisotropic measurements and applications to inverse problems in PDE9
Group sparse recovery in impulsive noise via alternating direction method of multipliers9
Dynamical sampling for shift-preserving operators9
Data-driven spatiotemporal modal decomposition for time frequency analysis9
A multiscale environment for learning by diffusion9
Analysis of a direct separation method based on adaptive chirplet transform for signals with crossover instantaneous frequencies9
Understanding neural networks with reproducing kernel Banach spaces9
A classification of anisotropic Besov spaces9
Activation function design for deep networks: linearity and effective initialisation8
Wavelets on intervals derived from arbitrary compactly supported biorthogonal multiwavelets8
Phase retrieval of bandlimited functions for the wavelet transform8
Capacity dependent analysis for functional online learning algorithms8
The recovery of complex sparse signals from few phaseless measurements8
Multidimensional scaling of noisy high dimensional data7
A stochastic sparse representation: n-best approximation to random signals and computation7
Tempered fractional Brownian motion: Wavelet estimation, modeling and testing7
Eigen-convergence of Gaussian kernelized graph Laplacian by manifold heat interpolation7
Computing committors in collective variables via Mahalanobis diffusion maps7
Sparse signal recovery from phaseless measurements via hard thresholding pursuit7
A tailor-made 3-dimensional directional Haar semi-tight framelet for pMRI reconstruction7
Stable phase retrieval from locally stable and conditionally connected measurements7
The Noise-sensitivity phase transition in spectral group synchronization over compact groups6
The Nyquist sampling rate for spiraling curves6
Hadamard equiangular tight frames6
Learning ability of interpolating deep convolutional neural networks6
Graph signal interpolation with positive definite graph basis functions6
An extremal problem for polynomials6
The diffusion geometry of fibre bundles: Horizontal diffusion maps6
Almost everywhere generalized phase retrieval6
Multiresolution mode decomposition for adaptive time series analysis6
Generalized matrix spectral factorization with symmetry and applications to symmetric quasi-tight framelets6
Gradient projection Newton pursuit for sparsity constrained optimization5
Rates of convergence of randomized Kaczmarz algorithms in Hilbert spaces5
Functional penalised basis pursuit on spheres5
Localized Fourier analysis for graph signal processing5
A representation theory perspective on simultaneous alignment and classification5
The sparsity of LASSO-type minimizers5
Nonlinear wavelet-based estimation to spectral density for stationary non-Gaussian linear processes5
Multivariate Vandermonde matrices with separated nodes on the unit circle are stable5
FROG-measurement based phase retrieval for analytic signals5
Optimal learning with anisotropic Gaussian SVMs5
On a regularization of unsupervised domain adaptation in RKHS5
On 2-dimensional mobile sampling5
Tensor completion by multi-rank via unitary transformation5
A noncommutative approach to the graphon Fourier transform5
Deep microlocal reconstruction for limited-angle tomography5
Strictly proper kernel scores and characteristic kernels on compact spaces5
Causal FIR symmetric paraunitary matrix extension and construction of symmetric tight M-dilated framelets5
Image restoration: Structured low rank matrix framework for piecewise smooth functions and beyond5
Data-driven efficient solvers for Langevin dynamics on manifold in high dimensions5
Super-resolution wavelets for recovery of arbitrarily close point-masses with arbitrarily small coefficients5
Fractional diffusion maps5
A one-bit, comparison-based gradient estimator5
A shape preserving C2 non-linear, non-uniform, subdivision scheme with fourth-order accuracy5
A sufficient condition for mobile sampling in terms of surface density5
Compressed sensing of low-rank plus sparse matrices4
On the quasi-Beurling dimensions of the spectra for planar Moran-type Sierpinski spectral measures4
Strongly convex optimization for joint fractal feature estimation and texture segmentation4
Stable parameterization of continuous and piecewise-linear functions4
The WQN algorithm to adaptively correct artifacts in the EEG signal4
Distributed regularized least squares with flexible Gaussian kernels4
On the Schatten p-quasi-norm minimization for low-rank matrix recovery4
Spectral analysis of weighted Laplacians arising in data clustering4
On Bayesian estimation and proximity operators4
The affine Wigner distribution4
The minimizers of the p-frame potential4
Regularization with multilevel non-stationary tight framelets for image restoration4
Single-exponential bounds for the smallest singular value of Vandermonde matrices in the sub-Rayleigh regime4
Complete interpolating sequences for the Gaussian shift-invariant space4
A proximal algorithm with backtracked extrapolation for a class of structured fractional programming4
Fundamental component enhancement via adaptive nonlinear activation functions4
Fractional Hardy-Sobolev L1-embedding per capacity-duality4
On the intermediate value property of spectra for a class of Moran spectral measures4
A fractal uncertainty principle for the short-time Fourier transform and Gabor multipliers4
Exact matrix completion based on low rank Hankel structure in the Fourier domain4
Hierarchical isometry properties of hierarchical measurements4
Exponential bases for partitions of intervals3
Uniform recovery in infinite-dimensional compressed sensing and applications to structured binary sampling3
Twisted B-splines in the complex plane3
On linear weak predictability with single point spectrum degeneracy3
Hirschman–Widder densities3
When does OMP achieve exact recovery with continuous dictionaries?3
Almost everywhere injectivity conditions for the matrix recovery problem3
Phase retrieval: A data-driven wavelet frame based approach3
Robust approach for blind separation of noisy mixtures of independent and dependent sources3
Two families of compactly supported Parseval framelets in L23
Spectral analysis of a time series: From an additive perspective to a multiplicative perspective3
A simple approach for quantizing neural networks3
On the eigenvalue distribution of spatio-spectral limiting operators in higher dimensions3
Homomorphic sensing of subspace arrangements3
Signal recovery from a few linear measurements of its high-order spectra3
On the construction of discrete orthonormal Gabor bases on finite dimensional spaces3
Diffusion maps for embedded manifolds with boundary with applications to PDEs3
On description of dual frames3
The restricted isometry property of block diagonal matrices for group-sparse signal recovery3
Local approximation of operators3
Orthogonal polynomials, biorthogonal polynomials and spline functions3
A quantitative subspace Balian-Low theorem3
Biorthogonal Greedy Algorithms in convex optimization3
Full spark frames in the orbit of a representation3
Gradient descent for deep matrix factorization: Dynamics and implicit bias towards low rank3
Papoulis' sampling theorem: Revisited3
Inequalities for derivatives with the Fourier transform3
Geometric scattering on measure spaces2
Stability of iterated dyadic filter banks2
A divide-and-conquer algorithm for distributed optimization on networks2
Ranking recovery from limited pairwise comparisons using low-rank matrix completion2
Approximate super-resolution of positive measures in all dimensions2
Calderón-type inequalities for affine frames2
Finding duality for Riesz bases of exponentials on multi-tiles2
Fast algorithms for the multi-dimensional Jacobi polynomial transform2
LU decomposition and Toeplitz decomposition of a neural network2
Frames by orbits of two operators that commute2
A diffusion + wavelet-window method for recovery of super-resolution point-masses with application to single-molecule microscopy and beyond2
Super-resolution of generalized spikes and spectra of confluent Vandermonde matrices2
Frame set for Gabor systems with Haar window2
A multivariate Riesz basis of ReLU neural networks2
A unified approach to synchronization problems over subgroups of the orthogonal group2
n-Best kernel approximation in reproducing kernel Hilbert spaces2
Error analysis for denoising smooth modulo signals on a graph2
An O(12
Improve concentration of frequency and time (ConceFT) by novel complex spherical designs2
Approximation bounds for norm constrained neural networks with applications to regression and GANs2
Synthesis-based time-scale transforms for non-stationary signals2
Continuous wavelet frames on the sphere: The group-theoretic approach revisited2
Toric symplectic geometry and full spark frames2
Interpolatory tight wavelet frames with prime dilation2
Dynamic super-resolution in particle tracking problems2
A note on spike localization for line spectrum estimation2
Metaplectic Gabor frames and symplectic analysis of time-frequency spaces2
Dispersion, spreading and sparsity of Gabor wave packets for metaplectic and Schrödinger operators2
On the number of faces and radii of cells induced by Gaussian spherical tessellations2
Fractional Fourier transforms, harmonic oscillator propagators and Strichartz estimates on Pilipović and modulation spaces2
Scaling limit of modulation spaces and their applications2
Phase retrieval for sub-Gaussian measurements2
Image denoising based on a variable spatially exponent PDE2
New results on approximate Hilbert pairs of wavelet filters with common factors2
On the numerical evaluation of the prolate spheroidal wave functions of order zero2
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