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This repository implements a Kalman Filter to estimate a noisy range measurement. The simulation generates Gaussian noise around an actual range and applies the Kalman filter to smooth the readings. The project demonstrates how Kalman filtering can be used for real-world applications such as sensor fusion, navigation, and signal processing.

  • Updated Mar 5, 2025
  • Jupyter Notebook

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