A CS recovery algorithm for model and time delay identification of MISO-FIR systems
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Publication:1736708
DOI10.3390/a8030743zbMath1461.93521OpenAlexW1583457578MaRDI QIDQ1736708
Publication date: 26 March 2019
Published in: Algorithms (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.3390/a8030743
parameter identificationsparsecompressed sensingtime delay estimationgradient projection pursuit algorithm
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Cites Work
- Unnamed Item
- Unnamed Item
- Convergence properties of the least squares estimation algorithm for multivariable systems
- Maximum likelihood Newton recursive and the Newton iterative estimation algorithms for Hammerstein CARAR systems
- Selective <inline-formula> <tex-math notation="TeX">$\ell_{1}$</tex-math></inline-formula> Minimization for Sparse Recovery
- Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
- Just relax: convex programming methods for identifying sparse signals in noise
- Robust tuning of dead-time compensators for processes with an integrator and long dead-time
- Optimized Projections for Compressed Sensing
- Orthonormal Expansion $\ell_{1}$-Minimization Algorithms for Compressed Sensing
- Toeplitz Compressed Sensing Matrices With Applications to Sparse Channel Estimation
- Consistency of the extended gradient identification algorithm for multi-input multi-output systems with moving average noises
- Compressed sensing
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