Super-resolution of positive spikes by Toeplitz low-rank approximation
暂无分享,去创建一个
[1] Tapan K. Sarkar,et al. Matrix pencil method for estimating parameters of exponentially damped/undamped sinusoids in noise , 1990, IEEE Trans. Acoust. Speech Signal Process..
[2] Laurent Demanet,et al. The recoverability limit for superresolution via sparsity , 2015, ArXiv.
[3] Benjamin Recht,et al. Atomic norm denoising with applications to line spectral estimation , 2011, Allerton.
[4] Jonathan Gillard,et al. Analysis of Structured Low Rank Approximation as an Optimization Problem , 2011, Informatica.
[5] Ieee Staff. 2017 25th European Signal Processing Conference (EUSIPCO) , 2017 .
[6] Pier Luigi Dragotti,et al. Guaranteed Performance in the FRI Setting , 2015, IEEE Signal Processing Letters.
[7] Petre Stoica,et al. Spectral Analysis of Signals , 2009 .
[8] Laurent Condat,et al. Cadzow Denoising Upgraded: A New Projection Method for the Recovery of Dirac Pulses from Noisy Linear Measurements , 2015 .
[9] James A. Cadzow,et al. Signal enhancement-a composite property mapping algorithm , 1988, IEEE Trans. Acoust. Speech Signal Process..
[10] Yonina C. Eldar,et al. Sampling at the rate of innovation: theory and applications , 2012, Compressed Sensing.
[11] Ivan Markovsky,et al. Software for weighted structured low-rank approximation , 2014, J. Comput. Appl. Math..
[12] C. Carathéodory. Über den variabilitätsbereich der fourier’schen konstanten von positiven harmonischen funktionen , 1911 .
[13] Ivan Markovsky,et al. Low Rank Approximation - Algorithms, Implementation, Applications , 2018, Communications and Control Engineering.
[14] M. Vetterli,et al. Sparse Sampling of Signal Innovations , 2008, IEEE Signal Processing Magazine.
[15] Yonina C. Eldar,et al. Innovation Rate Sampling of Pulse Streams With Application to Ultrasound Imaging , 2010, IEEE Transactions on Signal Processing.
[16] Emmanuel J. Candès,et al. Super-Resolution from Noisy Data , 2012, Journal of Fourier Analysis and Applications.
[17] D. Potts,et al. Parameter estimation for nonincreasing exponential sums by Prony-like methods , 2013 .
[18] D. Donoho. Superresolution via sparsity constraints , 1992 .
[19] Arthur Jay Barabell,et al. Improving the resolution performance of eigenstructure-based direction-finding algorithms , 1983, ICASSP.
[20] Laurent Condat,et al. A Primal–Dual Splitting Method for Convex Optimization Involving Lipschitzian, Proximable and Linear Composite Terms , 2012, Journal of Optimization Theory and Applications.
[21] Emmanuel J. Candès,et al. Super-Resolution of Positive Sources: The Discrete Setup , 2015, SIAM J. Imaging Sci..
[22] Jonathan Gillard,et al. Optimization challenges in the structured low rank approximation problem , 2013, J. Glob. Optim..