Moving average low-pass filter

A moving average smooths noisy sensor data by averaging the last $N$ samples. It is a simple low‑pass filter with a tunable window size.

1. Python example

from collections import deque

buffer = deque(maxlen=5)

buffer.append(value)
filtered_value = sum(buffer) / len(buffer)

2. Notes

• Increasing $N$ reduces noise but adds latency.
• For lower latency with adaptive smoothing, the 1‑Euro filter is a strong alternative (Casiez et al., 2012).

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