Filter Theory Snippets

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

Snippets

• Filter Design Principles
  Choosing and designing digital filters
• FIR Filters
  Finite Impulse Response digital filters
• IIR Filters
  Infinite Impulse Response digital filters
• Kalman Filter
  Optimal state estimation for linear systems
• Madgwick Filter - Orientation Estimation
  Gradient descent orientation filter for IMU sensor fusion
• Mahony Filter - Orientation Estimation
  Complementary filter with PI controller for IMU sensor fusion
• Median Filter
  Non-linear filtering for noise reduction
• Sensor Fusion with Kalman Filters
  Combining multiple sensors using Kalman filtering