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Efficient Decoding With Steady-State Kalman Filter in Neural Interface Systems
The Kalman filter is commonly used in neural interface systems to decode neural activity and estimate the desired movement kinematics. We analyze a low-complexity Kalman filter implementation in which the filter gain is approximated by its steady-state form, computed offline before real-time decodin...
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| Asıl Yazarlar: | , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
2010
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3044609/ https://ncbi.nlm.nih.gov/pubmed/21078582 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TNSRE.2010.2092443 |
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