What is the maximum or Nyquist frequency of a Gaussian signal?

Click For Summary

Discussion Overview

The discussion revolves around the Nyquist frequency of Gaussian signals in the context of Fourier analysis. Participants explore the implications of Gaussian functions in both time and frequency domains, addressing concepts such as sampling rates, frequency limits, and practical constraints in signal processing.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • Some participants note that the Fourier transform of a Gaussian is also Gaussian, suggesting that it has no upper frequency limit due to the rapid decay of its tails.
  • Others argue that the maximum frequency for practical purposes is around 5 GHz, implying a need for a sampling rate of at least 10 GHz.
  • There is confusion regarding the definition of maximum frequency, with some participants questioning whether the 5 GHz value corresponds to a frequency close to zero.
  • Participants discuss the criteria for selecting a sampling frequency (Fs) when no upper frequency limit exists, indicating that it is application-dependent and influenced by physical constraints.
  • One participant suggests using an anti-aliasing filter to determine the cutoff frequency for capturing relevant data in a Gaussian signal, while also mentioning the importance of noise considerations in practical applications.

Areas of Agreement / Disagreement

Participants express differing views on the concept of maximum frequency for Gaussian signals, with some asserting that it is practically limited while others maintain that it is theoretically unlimited. The discussion remains unresolved regarding the exact implications of these perspectives.

Contextual Notes

Limitations include the dependence on practical constraints and the application context for determining maximum frequency and sampling rates. There are unresolved questions about the relationship between theoretical concepts and practical implementations in signal processing.

Jiho
Messages
20
Reaction score
4
Hello.
I'm studying Fourier analysis. If we look at attached graph where Gaussian functions are transformed by Fourier analysis, we can find Gaussian functions in frequency domain have maximum value at 0 hertz.
upload_2019-2-14_1-7-8.png

So I confused what is the Nyquist frequency at Gaussian signal. I need to know Nyquist frequency for Fourier analysis, but alll of the Gaussian signal's critical frequcny is 0hertz.
 

Attachments

  • upload_2019-2-14_1-7-8.png
    upload_2019-2-14_1-7-8.png
    12.8 KB · Views: 2,114
Physics news on Phys.org
The zero frequency component is because the pulse is unidirectional i.e. it is DC.
The max frequency is 5 GHz so we would need to sample at at least twice this = 10 GHz.
 
The transform of a Gaussian is also Gaussian, and although the tails fall off very rapidly (faster than exponential), they never reach zero. Thus a Gaussian technically has no upper frequency limit.
If you sample a Gaussian, frequencies above Fs/2 will alias. If you pick Fs high enough, then the energy in the aliased segment is wholly negligible.
 
  • Like
Likes   Reactions: DaveE and FactChecker
tech99 said:
The zero frequency component is because the pulse is unidirectional i.e. it is DC.
The max frequency is 5 GHz so we would need to sample at at least twice this = 10 GHz.

I can't understand why max freq is 5Ghz. Do you mean that value corresponding freq lower at about 5Ghz is close to 0?
 
marcusl said:
The transform of a Gaussian is also Gaussian, and although the tails fall off very rapidly (faster than exponential), they never reach zero. Thus a Gaussian technically has no upper frequency limit.
If you sample a Gaussian, frequencies above Fs/2 will alias. If you pick Fs high enough, then the energy in the aliased segment is wholly negligible.

How cna I choose Fs high enough when no upper frequency limit?? Is there any criterion in signal processing??
 
Jiho said:
How cna I choose Fs high enough when no upper frequency limit?? Is there any criterion in signal processing??
The highest frequency that you wish to consider is application dependent. There is usually some physical limitation that allows one to ignore the extremely high frequencies.
 
Jiho said:
I can't understand why max freq is 5Ghz. Do you mean that value corresponding freq lower at about 5Ghz is close to 0?
Your plot of amplitude versus frequency falls to zero (visually) at about 5 x 10^9 Hz, which is 5 GHz. I agree it goes on for ever, but we have to set some limit due to practical constraints like the lowest quantising level.
 
  • Like
Likes   Reactions: sophiecentaur and Delta2
Jiho said:
Is there any criterion in signal processing??
It will depend on the application. The Nyquist filter cut off (determined by the sampling rate) will determine the quantising noise / alias level in the baseband bandwidth.
 
Jiho said:
How cna I choose Fs high enough when no upper frequency limit?? Is there any criterion in signal processing??
Yes, in general you cut off the spectrum of the input signal with an anti-aliasing filter. If you want to set the cutoff frequency to capture all relevant data in a Gaussian signal in a real application, there will be noise present and you can determine where the spectrum goes below the noise. Above that frequency, no spectral components can be seen.

For your noiseless simulation, you can calculate where the energy in the spectrum becomes negligible compared to the total energy in the Gaussian. Look up the transform of a Gaussian (which will also be a Gaussian). The area under a Gaussian is generally normalized to one. You can then compute where energy in the tails is, say, 0.1% or 0.01%--this is where the error function erf reaches 0.999 or 0.9999. The high frequency components will alias, but their energy is so small that it can't be seen.
 
  • Like
Likes   Reactions: sophiecentaur and FactChecker

Similar threads

  • · Replies 47 ·
2
Replies
47
Views
4K
  • · Replies 6 ·
Replies
6
Views
2K
  • · Replies 1 ·
Replies
1
Views
1K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 4 ·
Replies
4
Views
3K
Replies
18
Views
3K
  • · Replies 2 ·
Replies
2
Views
2K
Replies
7
Views
4K
  • · Replies 14 ·
Replies
14
Views
5K
  • · Replies 3 ·
Replies
3
Views
2K