Sampling Rate, Filtering, and Response Time Tradeoffs
Sensor designs often discuss sampling rate, filter window, response time, and power as separate parameters.
In a real device, they are tied together.
If sampling is too slow, the event has already happened before the system sees it. If filtering is too heavy, the system sees the event but reacts late. If sampling is too fast, power, bandwidth, noise, and processing cost increase. Battery devices that sleep between samples make this even more visible.
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