Fetching the paper…
Reading the bibliography…
Line spectral estimation is a classical signal processing problem that aims to estimate the line spectra from their signal which is contaminated by deterministic or random noise.
Tests of significance for the latent roots of covariance and correlation matrices
DN Lawley · 1956
Earlier work this paper cites.
On inverses of vandermonde and confluent vandermonde matrices
Walter Gautschi · 1962
Earlier work this paper cites.
The detection and resolution of optical signals
C Helstrom · 1964
Earlier work this paper cites.
Detection and resolution of incoherent objects by a background-limited optical system
Carl W Helstrom · 1969
Earlier work this paper cites.
A new look at the statistical model identification
Hirotugu Akaike · 1974
Earlier work this paper cites.
Modeling by shortest data description
Jorma Rissanen · 1978
Earlier work this paper cites.
Estimating the dimension of a model
Gideon Schwarz et al · 1978
Earlier work this paper cites.
Improvement of range resolution by spectral extrapolation
Athanasios Papoulis and Christodoulos Chamzas · 1979
Earlier work this paper cites.
Detection of signals by information theoretic criteria
Mati Wax and Thomas Kailath · 1985
Earlier work this paper cites.
Multiple emitter location and signal parameter estimation
Ralph Schmidt · 1986
Earlier work this paper cites.
Esprit-estimation of signal parameters via rotational invariance techniques
Richard Roy and Thomas Kailath · 1989
Earlier work this paper cites.
Music, maximum likelihood, and cramer-rao bound
Petre Stoica and Arye Nehorai · 1989
Earlier work this paper cites.
Detection of the number of coherent signals by the mdl principle
Mati Wax and Ilan Ziskind · 1989
Earlier work this paper cites.
Matrix pencil method for estimating parameters of exponentially damped/undamped sinusoids in noise
Yingbo Hua and Tapan K. Sarkar · 1990
Earlier work this paper cites.
Detection of the number of signals: A predicted eigen-threshold approach
Weiguo Chen, Kon Max Wong, and James P Reilly · 1991
Earlier work this paper cites.
On svd for estimating generalized eigenvalues of singular matrix pencil in noise
Yingbo Hua and Tapan K Sarkar · 1991
Earlier work this paper cites.
Superresolution via sparsity constraints
David L. Donoho · 1992
Earlier work this paper cites.
Resolution limits for deconvolved images
Leon B Lucy · 1992
Earlier work this paper cites.
Statistical limits to super resolution
Leon B Lucy · 1992
Cited alongside, same era.
Model-based optical resolution
Arnold J Den Dekker · 1996
Cited alongside, same era.
Resolution: a survey
Arnold Jan Den Dekker and A Van den Bos · 1997
Cited alongside, same era.
Information theory and an extension of the maximum likelihood principle
Hirotogu Akaike · 1998
Cited alongside, same era.
Imaging below the diffraction limit: a statistical analysis
Morteza Shahram and Peyman Milanfar · 2004
Cited alongside, same era.
Statistical analysis of achievable resolution in incoherent imaging
Morteza Shahram and Peyman Milanfar · 2004
Cited alongside, same era.
Exact support recovery for sparse spikes deconvolution
Vincent Duval and Gabriel Peyré · 2015
Later among the works it cites.
Super-resolution, extremal functions and the condition number of vandermonde matrices
Ankur Moitra · 2015
Later among the works it cites.
Resolution limits for atomic decompositions via markov-bernstein type inequalities
Gongguo Tang · 2015
Later among the works it cites.
Super-resolution of point sources via convex programming
Carlos Fernandez-Granda · 2016
Later among the works it cites.
Music for single-snapshot spectral estimation: Stability and super-resolution
Wenjing Liao and Albert C. Fannjiang · 2016
Later among the works it cites.
Super-resolution of positive sources: The discrete setup
Veniamin I. Morgenshtern and Emmanuel J. Candes · 2016
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Morteza Shahram and Peyman Milanfar · 2005
Cited alongside, same era.
Detecting the number of clusters in n-way probabilistic clustering
Zhaoshui He, Andrzej Cichocki, Shengli Xie, and Kyuwan Choi · 2010
Cited alongside, same era.
Super-resolution from noisy data
Emmanuel J. Candès and Carlos Fernandez-Granda · 2013
Cited alongside, same era.
Support detection in super-resolution
Carlos Fernandez-Granda · 2013
Cited alongside, same era.
Improved source number detection and direction estimation with nested arrays and ulas using jackknifing
Keyong Han and Arye Nehorai · 2013
Cited alongside, same era.
Compressed sensing off the grid
Gongguo Tang, Badri Narayan Bhaskar, Parikshit Shah, and Benjamin Recht · 2013
Cited alongside, same era.
Support recovery for sparse super-resolution of positive measures
Quentin Denoyelle, Vincent Duval, and Gabriel Peyré · 2017
Later among the works it cites.
Superfast line spectral estimation
Thomas Lundgaard Hansen, Bernard Henri Fleury, and Bhaskar D Rao · 2018
Later among the works it cites.
Approximate support recovery of atomic line spectral estimation: A tale of resolution and precision
Qiuwei Li and Gongguo Tang · 2018
Later among the works it cites.
Stable super-resolution limit and smallest singular value of restricted fourier matrices
Weilin Li and Wenjing Liao · 2018
Later among the works it cites.
Super-resolution limit of the esprit algorithm
Weilin Li, Wenjing Liao, and Albert Fannjiang · 2019
Later among the works it cites.
Computational resolution limit: a theory towards super-resolution
Ping Liu and Hai Zhang · 2019
Later among the works it cites.
Multidimensional sparse super-resolution
Clarice. Poon and Gabriel. Peyré · 2019
Later among the works it cites.
Conditioning of partial nonuniform fourier matrices with clustered nodes
Dmitry Batenkov, Laurent Demanet, Gil Goldman, and Yosef Yomdin · 2020
Closest in time.
Super-resolution of near-colliding point sources
Dmitry Batenkov, Gil Goldman, and Yosef Yomdin · 2020
Closest in time.
Harnessing sparsity over the continuum: Atomic norm minimization for superresolution
Yuejie Chi and Maxime Ferreira Da Costa · 2020
Closest in time.
Super-resolution of positive sources on an arbitrarily fine grid
Veniamin I Morgenshtern · 2020
Closest in time.