On sparsity by NUV-EM, Gaussian message passing, and Kalman smoothing

Author:

Loeliger Hans-Andrea,Bruderer Lukas,Malmberg Hampus,Wadehn Federico,Zalmai Nour

Publisher

IEEE

Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Multi-Agent Trajectory Planning with NUV Priors;2024 American Control Conference (ACC);2024-07-10

2. NUV-DOA: NUV Prior-Based Bayesian Sparse Reconstruction with Spatial Filtering for Super-Resolution DOA Estimation;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

3. Toward Design of Synthetic Active Inference Agents by Mere Mortals;Active Inference;2023-11-16

4. On NUP Priors and Gaussian Message Passing;2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP);2023-09-17

5. Outlier-Insensitive Kalman Filtering Using NUV Priors;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04

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