A Lorentzian IHT for complex-valued sparse signal recovery

DOI10.1007/S00034-017-0575-9zbMath1426.94048OpenAlexW2616249562MaRDI QIDQ2003227

Rui Hu, Jie Tang, Zhen Chen, Youjun Xiang, Y. L. Fu

Publication date: 16 July 2019

Published in: Circuits, Systems, and Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00034-017-0575-9

zbMATH Keywords

compressive sensingsparse signal recoverycomplex-valued signalS\(\alpha \)S distribution

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Cites Work

• Robust identification of OE model with constrained output using optimal input design
• Optimal experiment design for identification of ARX models with constrained output in non-Gaussian noise
• Reconstruction of sparse signals in impulsive disturbance environments
• Joint state and parameter robust estimation of stochastic nonlinear systems
• The Cramér-Rao Bound for Estimating a Sparse Parameter Vector
• Spatial Compressive Sensing for Direction-of-Arrival Estimation With Bias Mitigation Via Expected Likelihood
• Lorentzian Iterative Hard Thresholding: Robust Compressed Sensing With Prior Information
• Outlier-Robust Greedy Pursuit Algorithms in <formula formulatype="inline"><tex Notation="TeX">$\ell _{p}$</tex> </formula>-Space for Sparse Approximation
• Recovery of Sparsely Corrupted Signals
• Identification of time‐varying OE models in presence of non‐Gaussian noise: Application to pneumatic servo drives

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