Understanding Fourier Transforms

In summary, the conversation discusses obtaining the frequency response and spectrum graph for the function x(t) = A sin(w1t) + B cos(w2t). The concept of frequency response is questioned and it is suggested to use the Fourier transform to sketch the frequency domain version of the function, which would show the two frequency components.
  • #1
P99
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Homework Statement
How to obtain the frequency response and the spectrum graph of this function
x(t) = A sen(w1t) + Bcos(w2t)
Relevant Equations
Hi guys, can someone help me solve this.
Thanks.
I think that is with the Fourier transform.
 
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  • #2
P99 said:
Homework Statement:: How to obtain the frequency response and the spectrum graph of this function
x(t) = A sen(w1t) + Bcos(w2t)
Relevant Equations:: Hi guys, can someone help me solve this.
Thanks.

I think that is with the Fourier transform.
You were asked to show your work when reposting this question. Please show more effort or this thread will also be deleted.

That said, what do you mean "frequency response" in the context of that equation? A frequency response is usually associated with the transfer function of a function block or circuit. Certainly you can sketch the frequency domain version of that time domain function, right? What are the two frequency components of that sketch?
 

1. What is a Fourier transform?

A Fourier transform is a mathematical tool used to break down a function or signal into its individual frequency components. It allows us to analyze the different frequencies present in a signal and their respective amplitudes.

2. Why are Fourier transforms important?

Fourier transforms are important because they are used in a wide range of fields, including physics, engineering, and signal processing. They allow us to understand the frequency content of a signal and can be used for tasks such as noise reduction, filtering, and image processing.

3. How do Fourier transforms work?

Fourier transforms work by decomposing a signal into a sum of sine and cosine waves of different frequencies and amplitudes. This is achieved by taking the integral of the signal over all possible frequencies. The resulting graph, known as a frequency spectrum, shows the amplitudes of each frequency component present in the original signal.

4. What is the difference between a Fourier transform and a Fourier series?

A Fourier transform is used for continuous signals, while a Fourier series is used for periodic signals. Fourier series decomposes a periodic signal into a sum of sine and cosine waves, while Fourier transform decomposes a non-periodic signal into a continuous spectrum of frequencies.

5. What are some real-world applications of Fourier transforms?

Fourier transforms are used in many real-world applications, such as audio and image processing, data compression, and signal analysis. They are also used in fields such as astronomy, medical imaging, and speech recognition.

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