Distributed Kalman-consensus filtering for sparse signal estimation
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Publication:1717733
DOI10.1155/2014/138146zbMath1407.93389OpenAlexW1972774886WikidataQ59063108 ScholiaQ59063108MaRDI QIDQ1717733
Yisha Liu, HaiYang Yu, Ji'an Wang
Publication date: 8 February 2019
Published in: Mathematical Problems in Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2014/138146
Filtering in stochastic control theory (93E11) Estimation and detection in stochastic control theory (93E10)
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Cites Work
- Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
- Methods for Sparse Signal Recovery Using Kalman Filtering With Embedded Pseudo-Measurement Norms and Quasi-Norms
- Sparse Distributed Learning Based on Diffusion Adaptation
- Diffusion Strategies for Distributed Kalman Filtering and Smoothing
- Orthogonal Matching Pursuit for Sparse Signal Recovery With Noise
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