Practical guides and mathematical principles behind digital filters, including Kalman, FIR, and IIR filters.

Visual guide to the Kalman Filter - optimal recursive estimator for linear systems with Gaussian noise. Intuition The Kalman Filter combines two sources of information: Prediction from a model (physics/dynamics) Measurement from sensors (noisy observations) It finds the optimal balance between trusting the model vs …

Comprehensive guide to sensor fusion using Kalman filters for combining data from multiple sensors. What is Sensor Fusion? Sensor Fusion: Combining data from multiple sensors to produce more accurate, reliable, and complete information than any single sensor alone. Why Fuse Sensors? Individual Sensor Limitations Sensor …