Roadmap / Applications
Sensors & Signal Processing
Sensor values always wobble. Use them raw and your control and decisions wobble too.
Goal Read a sensor, filter the noise, and end up with a value you can trust.
- 01Sensor basics
How a physical quantity becomes a voltage or data, and reading sensor specs.
- 02Sampling and aliasing
The Nyquist frequency, and why you filter before sampling.
- 03Digital filters
Moving average, IIR and FIR filters computed on an MCU.
- 04Kalman filter basics
Blending prediction and measurement for a better estimate.
- 05IMU and sensor fusion
A complementary filter that combines accelerometer and gyro into tilt.
- 06Encoders and Hall sensors3D lab
Sensing rotor position and speed, and the timer's encoder mode.
- 07Distance sensors
Ultrasonic, infrared, ToF and lidar: principles and limits.
- 08Seeing frequency with the FFT
Finding where vibration and noise are concentrated.
Get tilt from an accelerometer and gyro
Combine the two sensors with a complementary filter to get tilt, and compare different filter coefficients.
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