Help with fourier transform for special square wave

In summary, the conversation discusses how to describe a square wave with peaks that are longer than the valleys. The suggested method is to rectify the wave and re-normalize it, resulting in a wavetrain described by rect(x/2)*comb(x/4). The Fourier transform of this function is Sinc(2q)*Sinc(4q), where q is the conjugate variable to x. The function can be further adjusted as needed.
  • #1
xanthium
2
0
I know how to describe a square wave with Fourier analysis, but what if I'm looking for a square wave with "peaks" that are longer than the "valleys."
For example, from f(x)=1 {from 0 to 2}, f(x)=-1 {from 2 to 3}, f(x)=1 {from 3 to 5}, f(x)=-1 {from 5 to 6}... and so on in a periodic fashion.
Any ideas?
Thanks
 
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  • #2
That's not so bad- first, I'll rectify the wave and re-normalize it to make the functions easier to type.

Then, the wavetrain you describe is rect(x/2)*comb(x/4), where '*' is convolution. I'm pretty sure that will reproduce the function you describe. The Fourier transform is then Sinc(2q)*Sinc(4q), where sinc(x) = sin(x)/x, and q is the conjugate variable to x.

Tweak the original function as needed.
 

1. What is a Fourier transform?

A Fourier transform is a mathematical technique used to decompose a signal into its constituent frequencies. It converts a signal from the time domain to the frequency domain, allowing for analysis of its frequency components.

2. How is a Fourier transform used in relation to a special square wave?

A Fourier transform can be used to analyze the frequency components of a special square wave, which is a type of periodic signal that alternates between two constant values. It can help identify the fundamental frequency and any harmonics present in the wave.

3. What is the process for performing a Fourier transform on a special square wave?

To perform a Fourier transform on a special square wave, you first need to discretize the signal by sampling it at regular intervals. Then, you can use a mathematical formula or algorithm to calculate the amplitudes and phases of the various frequency components present in the wave.

4. What is the significance of the results obtained from a Fourier transform on a special square wave?

The results obtained from a Fourier transform on a special square wave can provide valuable information about the frequency content of the wave. This can be useful in fields such as signal processing, telecommunications, and audio engineering.

5. Are there any limitations to using a Fourier transform for a special square wave?

One limitation of using a Fourier transform for a special square wave is that it assumes the signal is periodic and has a finite length. This may not always be the case in real-world applications, which can affect the accuracy of the results.

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