Multichannel frequency estimation with constant amplitude via convex structured low-rank approximation

Ill-posedness and regularization problems in numerical linear algebra (65F22) Inference from stochastic processes and spectral analysis (62M15) Control/observation systems with incomplete information (93C41) Positive matrices and their generalizations; cones of matrices (15B48) Approximation with constraints (41A29) Toeplitz, Cauchy, and related matrices (15B05)

Cites Work

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Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
A nonlinear programming algorithm for solving semidefinite programs via low-rank factorization
Structured low rank approximation
The convex geometry of linear inverse problems
Fixed-point algorithms for frequency estimation and structured low rank approximation
Fast and provable algorithms for spectrally sparse signal reconstruction via low-rank Hankel matrix completion
Rank of a Hadamard product
A relaxed interior point method for low-rank semidefinite programming problems with applications to matrix completion
Structured low-rank approximation and its applications
On approximation of functions by exponential sums
Infinite Hankel matrices and generalized Caratheodory-Fejer and Riesz problems
Direction-of-arrival estimation for constant modulus signals
Lectures on Modern Convex Optimization
On the Implementation and Usage of SDPT3 – A Matlab Software Package for Semidefinite-Quadratic-Linear Programming, Version 4.0
Structured Low-Rank Approximation with Missing Data
Hankel Matrix Rank Minimization with Applications to System Identification and Realization
Vandermonde Decomposition of Multilevel Toeplitz Matrices With Application to Multidimensional Super-Resolution
Robust Spectral Compressed Sensing via Structured Matrix Completion
Matrix pencil method for estimating parameters of exponentially damped/undamped sinusoids in noise
MUSIC, maximum likelihood, and Cramer-Rao bound
On unique localization of constrained-signals sources
ESPRIT Direction-of-Arrival Estimation in the Presence of Spatially Correlated Noise
Atomic Norm Denoising With Applications to Line Spectral Estimation
MIMO Radar Waveform Design With Constant Modulus and Similarity Constraints
A New Frequency Estimation Method for Equally and Unequally Spaced Data
Super-resolution of point sources via convex programming
Off-the-Grid Line Spectrum Denoising and Estimation With Multiple Measurement Vectors
Exact Joint Sparse Frequency Recovery via Optimization Methods
A Compact Formulation for the $\ell _{2,1}$ Mixed-Norm Minimization Problem
Atomic Norm Minimization for Modal Analysis From Random and Compressed Samples
Toward Dual-functional Radar-Communication Systems: Optimal Waveform Design
High-Dimensional Probability
Spectral Compressed Sensing via Projected Gradient Descent
ESPRIT for Multidimensional General Grids
Optimally Weighted MUSIC for Frequency Estimation
On the Sample Complexity of Multichannel Frequency Estimation via Convex Optimization
Compressed Sensing Off the Grid
Asymptotic properties of the algebraic constant modulus algorithm
Towards a Mathematical Theory of Super‐resolution
Augmented Lagrangian alternating direction method for matrix separation based on low-rank factorization
Inequalities of A. Markoff and S. Bernstein for polynomials and related functions
Positive trigonometric polynomials and signal processing applications
Nonasymptotic Performance Analysis of ESPRIT and Spatial-Smoothing ESPRIT
Maximum likelihood line spectral estimation in the signal domain: a rank-constrained structured matrix recovery approach
Multichannel frequency estimation in challenging scenarios via structured matrix embedding and recovery (StruMER)

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