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Nyquist_sampling.gif (576 × 189 pixels, file size: 821 KB, MIME type: image/gif, looped, 86 frames, 10 s)

Summary

Description
English: The figure on the left shows a function (in gray/black) being sampled and reconstructed (in gold) at steadily increasing sample-densities, while the figure on the right shows the frequency spectrum of the gray/black function, which does not change. The highest frequency in the spectrum is ½ the width of the entire spectrum. The width of the steadily-increasing pink shading is equal to the sample-rate. When it encompasses the entire frequency spectrum it is twice as large as the highest frequency, and that is when the reconstructed waveform matches the sampled one.
Italiano: Nella figura a sinistra si può osservare una funzione (in grigio/nero) la quale viene campionata e ricostruita (in oro) con una densità di campioni in costante aumento, mentre la figura a destra mostra lo spettro delle frequenze della funzione grigio/nera, che non varia. La frequenza più alta nello spettro è la metà della larghezza dell'intero spettro. La larghezza dell'ombreggiatura rosa in costante aumento è uguale alla frequenza di campionamento. Quando racchiude l'intero spettro di frequenza essa sarà il doppio della frequenza più alta, ed è allora che la forma d'onda ricostruita diventa corrispondente a quella campionata.
Date
Source https://twitter.com/j_bertolotti/status/1217060092757061632
Author Jacopo Bertolotti
Permission
(Reusing this file)
https://twitter.com/j_bertolotti/status/1030470604418428929

Mathematica 11.0 code

pnyq = Table[nyq = Table[{z, g}, {z, -7, 7, sample}];
   \[CapitalDelta] = nyq[[-1, 1]] - nyq[[-2, 1]];
   rec = Sum[nyq[[j, 2]]  Sin[\[Pi] (z + 7 + \[CapitalDelta] - j \[CapitalDelta])/\[CapitalDelta]]/(\[Pi] (z + 7 + \[CapitalDelta] - j \[CapitalDelta])/\[CapitalDelta]), {j, 1, Dimensions[nyq][[1]]}];
   GraphicsRow[{
     Plot[{g, rec}, {z, -7, 7}, AxesLabel -> {"t", "f(t)"}, LabelStyle -> {Black, Bold}, PlotStyle -> {Directive[Thick, Gray], Directive[Thick, Orange]}, PlotRange -> {-0.8, 1}, Epilog -> {PointSize[0.02], Point[nyq]}]
     ,
     Show[
      Plot[Abs[fg]^2, {k, -10, 10}, AxesLabel -> {"\[Omega]", "|F[f]\!\(\*SuperscriptBox[\(|\), \(2\)]\)"}, LabelStyle -> {Black, Bold}, PlotStyle -> {Thick, Red}, PlotRange -> {0, 0.5}]
      ,
      Plot[Abs[fg]^2, {k, -2/\[CapitalDelta], 2/\[CapitalDelta]}, AxesLabel -> {"\[Omega]", "|F[f]\!\(\*SuperscriptBox[\(|\), \(2\)]\)"}, LabelStyle -> {Black, Bold}, PlotStyle -> {Thick, Red}, 
       PlotRange -> {0, 0.5}, Filling -> Bottom]
      ]
     }, ImageSize -> Large]
   , {sample, 1, 0.15, -0.01}];
ListAnimate[pnyq]

Licensing

I, the copyright holder of this work, hereby publish it under the following license:
Creative Commons CC-Zero This file is made available under the Creative Commons CC0 1.0 Universal Public Domain Dedication.
The person who associated a work with this deed has dedicated the work to the public domain by waiving all of their rights to the work worldwide under copyright law, including all related and neighboring rights, to the extent allowed by law. You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission.

Captions

Reconstruction of a signal with varying sampling rate.

Items portrayed in this file

depicts

signal

spectrum

sampling

creator

some value

Wikimedia username: Berto
author name string: Jacopo Bertolotti

copyright status

copyrighted, dedicated to the public domain by copyright holder

copyright license

Creative Commons CC0 License

inception

14 January 2020

media type

image/gif

File history

Click on a date/time to view the file as it appeared at that time.

Date/TimeThumbnailDimensionsUserComment
current14:06, 26 February 2020Thumbnail for version as of 14:06, 26 February 2020576 × 189 (821 KB)AkanoToEChanged so that the last frame lasts 1.5 seconds to give time between loops.
10:10, 15 January 2020Thumbnail for version as of 10:10, 15 January 2020576 × 189 (1.11 MB)BertoUser created page with UploadWizard

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