Linked from

The 16 pages that link to Aliasing, each with the reason it gives.

• Nyquist–Shannon sampling theoremCompared with: Sampling below the theorem's bound makes different signals indistinguishable.

• Digital signal processingCompared with: It is a sampling artifact that DSP systems must prevent or manage.

• Sampling theoremCompared with: Sampling below the theorem’s threshold causes frequency components to overlap indistinguishably.

• Image resolutionRelated: Insufficient sampling can make fine image detail appear incorrectly.

• Image reconstructionRelated: Aliasing creates ambiguities that later computation cannot always resolve.

• Harry NyquistCompared with: Aliasing is the failure the sampling criterion is designed to prevent.

• Dirac combRelated: Periodic spectral copies produced by sampling overlap when the sampling rate is too low.

• Moiré patternNarrower topic: Moiré in digital images is a visible form of aliasing, but moiré also occurs without digital sampling.

• White noiseRelated: Insufficient sampling folds white noise’s high-frequency power into lower frequencies.

• Pixel densityRelated: Insufficient pixel density can make fine patterns appear jagged or misleading.

• SamplingRelated: Insufficient sampling makes higher-frequency variation appear as a different, lower-frequency pattern.

• Spectral analysisRelated: It can make high-frequency energy appear at incorrect lower frequencies.

• WaveformRelated: Insufficient sampling can make a digital waveform appear to have the wrong shape or frequency.

• Time-domain astronomyRelated: Sparse cadence can make a true variability period appear to be a different one.

• Doppler ultrasoundRelated: Pulsed Doppler can misrepresent high velocities when shifts exceed its sampling limit.

• High resolutionCompared with: Insufficient sampling can create apparent detail rather than faithfully resolve it.