Nyquist - shannon sampling theorem example

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SUMMARY

The discussion centers on applying the Nyquist-Shannon sampling theorem to the signal x(t) = 3sin(9πt) - 6cos(8πt). The participants calculate the frequencies of the components, determining f1 = 4.5 Hz and f2 = 4 Hz. The correct Nyquist rate is established as 2 times the highest frequency component, which is 9 Hz, confirming that the sampling frequency must be at least 9 Hz to avoid aliasing.

PREREQUISITES
  • Understanding of the Nyquist-Shannon sampling theorem
  • Knowledge of trigonometric functions and their frequencies
  • Ability to calculate periods and frequencies from mathematical expressions
  • Familiarity with concepts of aliasing in signal processing
NEXT STEPS
  • Study the implications of aliasing in digital signal processing
  • Learn about the least common multiple in the context of signal frequencies
  • Explore practical applications of the Nyquist theorem in audio and communications
  • Investigate advanced sampling techniques beyond the Nyquist rate
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Students and professionals in electrical engineering, signal processing, and anyone involved in the analysis and sampling of signals.

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Homework Statement


What sampling frequency would you use to sample the following signal

x(t) = 3sin(9πt) - 6cos(8πt)

Homework Equations

The Attempt at a Solution



let T1 be the period of 3sin(9πt) and T2 the period of 6cos(8πt)

T1 = 2π/9π = 2/9
Τ2 = 2π/8π = 2/8

thus, if f1 is the frequency of 3sin(9πt) and f2 the frequency of 6cos(8πt) we have

f1 = 1/T1 = 9/2 = 4.5
f2 = 1/T2 = 8/2 = 4

now about the niquist rate,

I'm not sure whether it will be 9(2*f1, since f1>f2) or the frequency that is 2 times larger than the overall frequency of x(t)

can you please remind this to me? thanks
 
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I'm not sure whether it will be 9(2*f1, since f1>f2) or the frequency that is 2 times larger than the overall frequency of x(t)
Not sure what you mean by the "overall frequency of x(t)".

When you sample at the Nyquist frequency, you need to sample at twice the highest frequency component of the signal.
 


thanks lewando

What I was meaning is that

x(t) may have two components but the overall frequency is the least common multiple of the frequencies of each of these 2 components right? so the result will be different

thus if I understand correctly the result should be 2*f1 = 9 because f1 > f2 right?
 


...the overall frequency is the least common multiple of the frequencies of each of these 2 components right?
Honestly, I have never seen the term "overall frequency", as you have defined, used anywhere.

thus if I understand correctly the result should be 2*f1 = 9 because f1 > f2 right?
Right! :smile:
 


thanks a lot ;)
 

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