Nyquist–Shannon sampling theorem
GPTKB entity
Statements (23)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:mathematical_concept
|
| gptkbp:alsoKnownAs |
sampling theorem
|
| gptkbp:appliesTo |
bandlimited signals
|
| gptkbp:field |
gptkb:information_theory
gptkb:signal_processing |
| https://www.w3.org/2000/01/rdf-schema#label |
Nyquist–Shannon sampling theorem
|
| gptkbp:influenced |
digital communications
digital audio data conversion |
| gptkbp:introducedIn |
20th century
|
| gptkbp:namedAfter |
gptkb:Claude_Shannon
gptkb:Harry_Nyquist |
| gptkbp:publicationYear |
1949
|
| gptkbp:publishedBy |
gptkb:Claude_Shannon
|
| gptkbp:publishedIn |
gptkb:Bell_System_Technical_Journal
|
| gptkbp:relatedConcept |
gptkb:Fourier_transform
gptkb:Nyquist_rate digital signal processing aliasing |
| gptkbp:samplingRateRequirement |
greater than twice the highest frequency
|
| gptkbp:state |
A continuous signal can be completely represented by its samples and fully reconstructed if it is bandlimited and the sampling rate is greater than twice the highest frequency present in the signal.
|
| gptkbp:bfsParent |
gptkb:Harry_Nyquist
|
| gptkbp:bfsLayer |
5
|