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The 21 pages that link to Sampling theorem, each with the reason it gives.

• Claude ShannonRelated: Shannon helped formalize this result, which connects continuous signals to digital representation.

• Compact discRelated: It explains the relationship between compact-disc sampling rate and reproducible audio frequencies.

• Point spread functionRelated: A sampled PSF can misrepresent image blur when the detector undersamples its structure.

• Signal processingRelated: It sets the sampling rate needed to preserve a signal's information.

• Aperture synthesisRelated: Sparse baseline coverage limits which image structures can be recovered reliably.

• Chroma subsamplingRelated: Subsampling lowers chroma sampling rates and therefore limits reconstructible color detail.

• Pulse-code modulationRelated: It sets the minimum sampling rate needed to preserve the signal's frequency content.

• Image reconstructionRelated: Sampling density determines whether spatial detail can be recovered without aliasing.

• Pulse-width modulationRelated: PWM implementations must switch fast enough to represent changes in the input signal.

• Audio signalRelated: It explains how sample rate limits the frequencies a digital audio signal can preserve.

• Digital signal processorRelated: It sets the sampling-rate requirements for faithfully digitizing signals before DSP processing.

• Harry NyquistRelated: Nyquist’s name is attached to the rate needed to reconstruct a band-limited signal.

• Dirac combRelated: Multiplication by a comb models uniform sampling and exposes spectral replicas.

• Moiré patternRelated: Sampling a fine pattern too coarsely can produce moiré as an aliasing artifact.

• White noiseRelated: It sets conditions for representing band-limited white noise digitally.

• Pixel densityNarrower topic: An image’s pixel grid samples spatial detail, so sampling limits what density can preserve.

• SamplingRelated: It sets the minimum sampling rate needed to preserve a signal's highest frequency.

• OscilloscopeRelated: It explains why sampling rate limits the frequencies a digital oscilloscope can represent accurately.

• Spectral analysisRelated: It sets the sampling conditions needed to avoid losing or misrepresenting spectral content.

• TelephonyRelated: It explains how telephone systems can digitize voice within a limited frequency band.

• Carlson's theoremCompared with: Both link discrete samples to uniqueness, but sampling theorems also provide reconstruction formulas.