How Can You Perform Fourier Transform of a Composite Function in MATLAB?

In summary, to find the Fourier Transform of g(t) using matlab, you will need to use the continuous Fourier Transform formula and a finite range of values for t. To input a triangular function in matlab, use the trimf function and make sure the dimensions of the matrices are the same when multiplying with another function.
  • #1
frenzal_dude
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Homework Statement



I need to find the Fourier Transform of g(t) using matlab,

[tex]g(t) = tri(\frac{t}{2\pi })Cos(2\pi (\frac{5}{\pi })t)[/tex]

Homework Equations



How can this be done accurately since you need 't' to be from -infinity to +infinity?

And how can you input a tri function in matlab?

The Attempt at a Solution



I tried using y=trimf(t,[3 6 8]); but when I multiply the trimf function and the cos function it says the matrices must have the same dimensions.

Thanks for your help.
 
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  • #2


Hello,

To accurately find the Fourier Transform of g(t), you will need to use the continuous Fourier Transform formula, which involves integrating from -infinity to +infinity. However, for practical purposes, you can use a finite range of values for t and still get a good approximation of the Fourier Transform.

To input a triangular function (tri) in matlab, you can use the trimf function as you have already tried. However, to multiply it with the cosine function, you will need to make sure that the dimensions of the matrices are the same. You can do this by either using the same range of values for t in both functions or by using the same number of elements in t for both functions.

I hope this helps. Let me know if you need further clarification.
 

1. What is Fourier Transform and why is it important?

Fourier Transform is a mathematical operation that decomposes a signal into its individual frequencies. It is important in signal processing, data analysis, and image processing as it allows us to analyze and manipulate signals in the frequency domain.

2. How is Fourier Transform performed in Matlab?

In Matlab, Fourier Transform can be performed using the fft function. This function takes the signal as an input and returns its Fourier Transform as an output. The fft function also allows for various options, such as choosing the sampling rate and the number of points in the transform.

3. What is the difference between Fourier Transform and Inverse Fourier Transform?

Fourier Transform converts a signal from the time domain to the frequency domain, while the Inverse Fourier Transform does the opposite - it converts a signal from the frequency domain back to the time domain. The two operations are inverse of each other, and they allow us to analyze a signal in both the time and frequency domains.

4. Can Fourier Transform be applied to non-time domain signals?

Yes, Fourier Transform can be applied to any signal that can be represented as a function. This includes spatial, frequency, and spectral domains. In Matlab, the fft function can also be used to perform Fourier Transform on multidimensional arrays.

5. What are the limitations of Fourier Transform?

Fourier Transform assumes that the signal is periodic and infinite. In reality, most signals are finite and have a limited duration. This can lead to spectral leakage and aliasing, which can affect the accuracy of the Fourier Transform. Additionally, Fourier Transform is not suitable for analyzing non-stationary signals, as it assumes that the signal remains constant over time.

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