Adnan Harun Dogan
1 indexed paper
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126
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Robotics×1AI×1Signal Processing×1
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2026
FW-NKF: Frequency-Weighted Neural Kalman Filters
The paper proposes the Frequency-Weighted Neural Kalman Filter (FW-NKF), a hybrid approach that improves state estimation for robotics by explicitly suppressing frequency-dependent noise components in sensor measurements.
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