OOIR: Observatory of International Research

Papers

(The TQCC of Applied and Computational Harmonic Analysis is 5. 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 2021-04-01 to 2025-04-01.)

Article	Citations
Kadec-type theorems for sampled group orbits	60
The affine Wigner distribution	58
Inversion of the attenuated X-ray transforms — Method of convolution-backprojection	51
Introduction to the Special Issue on Harmonic Analysis and Machine Learning	38
Solving phase retrieval with random initial guess is nearly as good as by spectral initialization	32
Divergence-free quasi-interpolation	29
On the accuracy of Prony's method for recovery of exponential sums with closely spaced exponents	27
Conditional expectation using compactification operators	27
Spatiotemporal analysis using Riemannian composition of diffusion operators	27
Editorial Board	27
Editorial Board	25
Error bounds for kernel-based approximations of the Koopman operator	23
On the quasi-Beurling dimensions of the spectra for planar Moran-type Sierpinski spectral measures	23
Harmonic analysis on directed graphs and applications: From Fourier analysis to wavelets	22
Exponential lower bound for the eigenvalues of the time-frequency localization operator before the plunge region	21
Convex optimization in sums of Banach spaces	21
Gaussian approximation for the moving averaged modulus wavelet transform and its variants	19
Non-separable multidimensional multiresolution wavelets: A Douglas-Rachford approach	19
Wavelet characterization of Besov and Triebel–Lizorkin spaces on spaces of homogeneous type and its applications	18
Strongly convex optimization for joint fractal feature estimation and texture segmentation	18
A diffusion + wavelet-window method for recovery of super-resolution point-masses with application to single-molecule microscopy and beyond	17
A sufficient condition for mobile sampling in terms of surface density	17
Multivariate Vandermonde matrices with separated nodes on the unit circle are stable	16
Matrix recovery from permutations	16
Naimark-spatial families of equichordal tight fusion frames	16

Deep microlocal reconstruction for limited-angle tomography	16
Quasi-projection operators in weighted L spaces	15
Frames of translates for model sets	15
Convergence of sparse grid Gaussian convolution approximation for multi-dimensional periodic functions	15
Learning ability of interpolating deep convolutional neural networks	14
Towards a bilipschitz invariant theory	14
Generalized matrix spectral factorization with symmetry and applications to symmetric quasi-tight framelets	14
On the numerical evaluation of the prolate spheroidal wave functions of order zero	14
Analytic and directional wavelet packets in the space of periodic signals	14
Toric symplectic geometry and full spark frames	14
An unbounded operator theory approach to lower frame and Riesz-Fischer sequences	13
Scale dependencies and self-similar models with wavelet scattering spectra	13
The beltway problem over orthogonal groups	13
Capacity dependent analysis for functional online learning algorithms	12
Gradient descent for deep matrix factorization: Dynamics and implicit bias towards low rank	11
Improved spectral convergence rates for graph Laplacians on ε-graphs and k-NN graphs	11
Understanding neural networks with reproducing kernel Banach spaces	10
Riesz transform associated with the fractional Fourier transform and applications in image edge detection	10
Estimation under group actions: Recovering orbits from invariants	10
Time-scale-chirp_rate operator for recovery of non-stationary signal components with crossover instantaneous frequency curves	10
Synthesis-based time-scale transforms for non-stationary signals	10
Constructive subsampling of finite frames with applications in optimal function recovery	9
Inverse problems are solvable on real number signal processing hardware	9
Spectrality of self-affine Sierpinski-type measures on R	9
A proximal algorithm with backtracked extrapolation for a class of structured fractional programming	8
Editorial Board	8
Spectral analysis of weighted Laplacians arising in data clustering	8
Phase retrieval for sub-Gaussian measurements	8
Editorial Board	8
Editorial Board	8
Improve concentration of frequency and time (ConceFT) by novel complex spherical designs	8
Dimension reduction, exact recovery, and error estimates for sparse reconstruction in phase space	8
Editorial Board	7
Rate-optimal sparse approximation of compact break-of-scale embeddings	7
Nonlinear wavelet-based estimation to spectral density for stationary non-Gaussian linear processes	7
Laplace-Beltrami operator on the orthogonal group in ambient (Euclidean) coordinates	6
A shape preserving C2 non-linear, non-uniform, subdivision scheme with fourth-order accuracy	6
The sparsity of LASSO-type minimizers	6
The mystery of Carleson frames	6
Editorial Board	6
Lower bounds on the low-distortion embedding dimension of submanifolds of 6
The universal approximation theorem for complex-valued neural networks	6
Stable recovery of entangled weights: Towards robust identification of deep neural networks from minimal samples	6
Nodal domain count for the generalized graph p-Laplacian	6
Time and band limiting for exceptional polynomials	6
Fractional Fourier transforms, harmonic oscillator propagators and Strichartz estimates on Pilipović and modulation spaces	6
Fundamental component enhancement via adaptive nonlinear activation functions	6
Deep nonparametric estimation of intrinsic data structures by chart autoencoders: Generalization error and robustness	6
Computing committors in collective variables via Mahalanobis diffusion maps	5
Construction of pairwise orthogonal Parseval frames generated by filters on LCA groups	5

Approximating the span of principal components via iterative least-squares	5
Modewise operators, the tensor restricted isometry property, and low-rank tensor recovery	5
Compressed sensing of low-rank plus sparse matrices	5
LU decomposition and Toeplitz decomposition of a neural network	5
Perfect reconstruction two-channel filter banks on arbitrary graphs	5
Stable phase retrieval from locally stable and conditionally connected measurements	5
A noncommutative approach to the graphon Fourier transform	5
Weighted variation spaces and approximation by shallow ReLU networks	5
Analysis of a direct separation method based on adaptive chirplet transform for signals with crossover instantaneous frequencies	5
Needlets liberated	5
High-probability generalization bounds for pointwise uniformly stable algorithms	5
On the non-frame property of Gabor systems with Hermite generators and the frame set conjecture	5
Multidimensional unstructured sparse recovery via eigenmatrix	5
A perturbative analysis for noisy spectral estimation	5
Variable bandwidth via Wilson bases	5
On the construction of discrete orthonormal Gabor bases on finite dimensional spaces	5
Transferability of graph neural networks: An extended graphon approach	5
Low-rank matrix recovery via regularized nuclear norm minimization	5
The metaplectic action on modulation spaces	5
Uncertainty principles, restriction, Bourgain's Λ theorem, and signal recovery	5