Aliasing - Nyquist frequency
$begingroup$
According to Wolfram
"
in order to recover all Fourier components of a periodic waveform, it is necessary to use a sampling rate $nu$ at least twice textit{highest} waveform frequency. The Nyquist frequency, also called the Nyquist limit is the highest frequency that can be coded ata a given sampling rate in order to tbe able to fully reconstruct the signal, i.e.,
$$
f_{text{Nyquist}} = frac{1}{2}v
$$
"
Here what I don't understand: how can this equality be true when you have a frequency (e.g. with unit Hz) on one side and a velocity (e.g. with using m/s) on the other side of the equation?
fourier-analysis fourier-series signal-processing
$endgroup$
add a comment |
$begingroup$
According to Wolfram
"
in order to recover all Fourier components of a periodic waveform, it is necessary to use a sampling rate $nu$ at least twice textit{highest} waveform frequency. The Nyquist frequency, also called the Nyquist limit is the highest frequency that can be coded ata a given sampling rate in order to tbe able to fully reconstruct the signal, i.e.,
$$
f_{text{Nyquist}} = frac{1}{2}v
$$
"
Here what I don't understand: how can this equality be true when you have a frequency (e.g. with unit Hz) on one side and a velocity (e.g. with using m/s) on the other side of the equation?
fourier-analysis fourier-series signal-processing
$endgroup$
add a comment |
$begingroup$
According to Wolfram
"
in order to recover all Fourier components of a periodic waveform, it is necessary to use a sampling rate $nu$ at least twice textit{highest} waveform frequency. The Nyquist frequency, also called the Nyquist limit is the highest frequency that can be coded ata a given sampling rate in order to tbe able to fully reconstruct the signal, i.e.,
$$
f_{text{Nyquist}} = frac{1}{2}v
$$
"
Here what I don't understand: how can this equality be true when you have a frequency (e.g. with unit Hz) on one side and a velocity (e.g. with using m/s) on the other side of the equation?
fourier-analysis fourier-series signal-processing
$endgroup$
According to Wolfram
"
in order to recover all Fourier components of a periodic waveform, it is necessary to use a sampling rate $nu$ at least twice textit{highest} waveform frequency. The Nyquist frequency, also called the Nyquist limit is the highest frequency that can be coded ata a given sampling rate in order to tbe able to fully reconstruct the signal, i.e.,
$$
f_{text{Nyquist}} = frac{1}{2}v
$$
"
Here what I don't understand: how can this equality be true when you have a frequency (e.g. with unit Hz) on one side and a velocity (e.g. with using m/s) on the other side of the equation?
fourier-analysis fourier-series signal-processing
fourier-analysis fourier-series signal-processing
asked Nov 24 '18 at 11:08
ecjbecjb
1618
1618
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
$begingroup$
Sampling rate ν is also in Hz. It is the number of observations per second - the rate at which you are sampling data.
Both sides of the equation are in the same units. Hertz.
And that’s a Greek letter ν (nu), not an English letter v.
$endgroup$
add a comment |
Your Answer
StackExchange.ifUsing("editor", function () {
return StackExchange.using("mathjaxEditing", function () {
StackExchange.MarkdownEditor.creationCallbacks.add(function (editor, postfix) {
StackExchange.mathjaxEditing.prepareWmdForMathJax(editor, postfix, [["$", "$"], ["\\(","\\)"]]);
});
});
}, "mathjax-editing");
StackExchange.ready(function() {
var channelOptions = {
tags: "".split(" "),
id: "69"
};
initTagRenderer("".split(" "), "".split(" "), channelOptions);
StackExchange.using("externalEditor", function() {
// Have to fire editor after snippets, if snippets enabled
if (StackExchange.settings.snippets.snippetsEnabled) {
StackExchange.using("snippets", function() {
createEditor();
});
}
else {
createEditor();
}
});
function createEditor() {
StackExchange.prepareEditor({
heartbeatType: 'answer',
autoActivateHeartbeat: false,
convertImagesToLinks: true,
noModals: true,
showLowRepImageUploadWarning: true,
reputationToPostImages: 10,
bindNavPrevention: true,
postfix: "",
imageUploader: {
brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
allowUrls: true
},
noCode: true, onDemand: true,
discardSelector: ".discard-answer"
,immediatelyShowMarkdownHelp:true
});
}
});
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fmath.stackexchange.com%2fquestions%2f3011420%2faliasing-nyquist-frequency%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
$begingroup$
Sampling rate ν is also in Hz. It is the number of observations per second - the rate at which you are sampling data.
Both sides of the equation are in the same units. Hertz.
And that’s a Greek letter ν (nu), not an English letter v.
$endgroup$
add a comment |
$begingroup$
Sampling rate ν is also in Hz. It is the number of observations per second - the rate at which you are sampling data.
Both sides of the equation are in the same units. Hertz.
And that’s a Greek letter ν (nu), not an English letter v.
$endgroup$
add a comment |
$begingroup$
Sampling rate ν is also in Hz. It is the number of observations per second - the rate at which you are sampling data.
Both sides of the equation are in the same units. Hertz.
And that’s a Greek letter ν (nu), not an English letter v.
$endgroup$
Sampling rate ν is also in Hz. It is the number of observations per second - the rate at which you are sampling data.
Both sides of the equation are in the same units. Hertz.
And that’s a Greek letter ν (nu), not an English letter v.
answered Nov 24 '18 at 11:51
ip6ip6
54839
54839
add a comment |
add a comment |
Thanks for contributing an answer to Mathematics Stack Exchange!
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
Use MathJax to format equations. MathJax reference.
To learn more, see our tips on writing great answers.
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fmath.stackexchange.com%2fquestions%2f3011420%2faliasing-nyquist-frequency%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown