Sampling Frequencies: f1, f2, f3 with fs=1000Hz

In summary, the conversation discusses the use of signal frequencies f1=18 Hz, f2=510 Hz, and f3=1100 Hz with a sampling frequency of fs=1000 Hz. The question is raised if the same formula can be used for all frequencies, and if there would be aliasing in the case of frequencies above the Nyquist Frequency fc=fs/2=500 Hz. The speaker also asks about the graphs for these samplings and if the same questions apply for a sampling frequency of fs=1002 Hz. The formula SΔ(v)= f_{s}\sum_{n=-\infty}^{+\infty}(S(v-n*f_{s})) is used to calculate the sampling results,
  • #1
electronic engineer
145
3

Homework Statement



We have the following signal frequencies:

f1=18 Hz, f2=510 Hz, f3=1100 Hz

when using the sampling frequency fs=1000 Hz.

how would these signals be like?

my question is if I could use the same formula stated below for all the frequencies f1,f2,f3.. because the second and third ones are above the Nyquist Frequency fc=fs/2=500 Hz so there would be aliasing in this case.

and what about the graphs for these samplings?

Homework Equations



when using another sampling frequency fs=1002 Hz

and here also would be the same questions.

The Attempt at a Solution



I used the formula:

$$ S_{\Delta }(v)= f_{s}\sum_{n=-\infty}^{+\infty}(S(v-n*f_{s})) $$

for the first frequency f1= 18 Hz I had:

$$ S_{\Delta}(18)=1000\sum(S(18-n*1000)) $$

where $$ n=-\infty $$ to $$ +\infty $$
 
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  • #2
electronic engineer said:
how would these signals be like?
Do you mean, for each actual frequency, what is the lowest frequency that could yield the same sampling results?
 
  • #3
haruspex said:
Do you mean, for each actual frequency, what is the lowest frequency that could yield the same sampling results?
No i mean for each actual frequency wha are the sampling results for fs=1000 Hz and then for fs=1002 Hz.
 

1. What is the significance of fs=1000Hz in sampling frequencies?

The fs=1000Hz in sampling frequencies refers to the sampling rate, which is the number of samples that are taken per second. In this case, it means that 1000 samples are taken every second. This is important because it determines how accurately the original signal can be reconstructed from the sampled signal.

2. What do f1, f2, and f3 represent in sampling frequencies?

f1, f2, and f3 are the frequencies of the original signal that is being sampled. These frequencies can range from 0Hz to half of the sampling rate, which in this case would be 500Hz. They represent the different components or tones of the original signal that are being captured and analyzed through sampling.

3. How are f1, f2, and f3 related to each other in sampling frequencies?

In sampling, f1, f2, and f3 are related in terms of harmonics. f2 is twice the frequency of f1, and f3 is three times the frequency of f1. This means that f2 and f3 are harmonics of f1. The relationship between these frequencies is important in accurately reconstructing the original signal from the sampled signal.

4. What is the Nyquist-Shannon sampling theorem and how does it relate to these sampling frequencies?

The Nyquist-Shannon sampling theorem states that in order to accurately reconstruct a continuous signal from its sampled version, the sampling rate must be at least twice the highest frequency present in the original signal. In this case, fs=1000Hz is the sampling rate and f3=500Hz is the highest frequency in the original signal, satisfying the Nyquist-Shannon sampling theorem.

5. How does the choice of sampling frequencies affect the accuracy of the sampled signal?

The choice of sampling frequencies, specifically the sampling rate, is crucial in accurately reconstructing the original signal from the sampled signal. If the sampling rate is too low, important frequencies may be missed and the reconstructed signal will not accurately represent the original signal. However, if the sampling rate is too high, it may result in unnecessary data and a waste of resources. Therefore, choosing the appropriate sampling frequencies is important in achieving an accurate representation of the original signal.

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