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 decoding...
| Main Authors: | , , , |
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| Other Authors: | , |
| Format: | Article |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers,
2012-05-09T20:10:40Z.
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| Subjects: | |
| Online Access: | Get fulltext |