Suppressing Sensor Noise with Simple Hardware and Software Techniques
June 5, 2013 | 1:50pm - 2:30pm
All to often, designers try to solve noise problems by performing heavy filtering in software. This approach is both slow and wasteful of processor MIPS. This session will discuss techniques to suppress noise using more efficient methods, including slew-rate limiting, differential measurement methods, sample-time dithering, and oversampling.
In this session, attendees will learn:
Learn how you can reduce the amount of noise in the sample data by controlling the sampling process
Learn how the design of the analog front end can decrease the amount of noise present on a sensor signal
Learn how simple software techniques can limit both periodic and impulse noise effects on sensor data