Hankel tensor-based model and \(L_1\)-Tucker decomposition-based frequency recovery method for harmonic retrieval problem
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Publication:2685269
DOI10.1007/s40314-022-02151-3OpenAlexW4313411036MaRDI QIDQ2685269
Bo Bai, Xiang Chen, Yuchi Wu, Zhenyu Ming, Zhenting Luan, Wei Han, Li-ping Zhang
Publication date: 20 February 2023
Published in: Computational and Applied Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s40314-022-02151-3
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Cites Work
- Tensor Decompositions and Applications
- A pure \(L_1\)-norm principal component analysis
- An approach to n-mode components analysis
- Exponential data fitting using multilinear algebra: the single‐channel and multi‐channel case
- On the Best Rank-1 and Rank-(R1 ,R2 ,. . .,RN) Approximation of Higher-Order Tensors
- L1-Norm Principal-Component Analysis of Complex Data
- Robust Harmonic Retrieval via Block Successive Upper-Bound Minimization
- Robust iterative fitting of multilinear models
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