Understand the Nyquist theorem: a signal must be sampled at more than twice its own frequency to be captured correctly. Sample below that rate, and the signal aliases — it appears in the data as a different, lower frequency that was never actually there.
blue = true signal · dashed red = what a sampler would perceive (aliased frequency when undersampled)
Nyquist Frequency
150 HzAliased Frequency
n/aNyquist frequency: f_Nyquist = f_sample / 2No aliasing when: f_signal < f_NyquistAliased frequency: |f_signal − round(f_signal / f_sample)·f_sample|Keep the defaults (signal 100 Hz, sampling 300 Hz). Confirm the signal frequency is below the Nyquist frequency — no aliasing.
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