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the claim
Sampling rates lower or higher than the Nyquist rate cause signal aliasing and reconstruction effects.
the verdict
SUPPORTED
the evidence backs this
refutedsupported
the weight of evidence
3 sources for · 0 against

Evidence from signal processing and medical imaging confirms that sampling rates below the Nyquist threshold lead to signal aliasing and reconstruction artifacts.

Evidence for · 3
2025 · cited by 9
Highlights that novel functional MRI sequences enable critical sampling of physiological pulsations devoid of aliased mixing of signals.
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The analysis

The retrieved papers provide consistent empirical and theoretical support for the claim regarding the Nyquist rate and the consequences of undersampling (aliasing and artifacts). Papers [0], [2], and [6] specifically discuss avoiding aliased mixing, applying the Nyquist-Shannon theorem to prevent data distortion, and the emergence of sampling artifacts when angular limits are violated.

More for · 2
2025 · cited by 3
Utilizes the Nyquist-Shannon theorem to determine optimal sampling rates and avoid signal distortion in tracking symptom dynamics.
2026 · cited by 1
Demonstrates that reducing spatial or angular views below the Nyquist limit introduces noticeable sampling artifacts and aliasing.
The paper trail · every fact has a biography
first checked04 Aug 2026
judged → SUPPORTED · 8104 Aug 2026
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