How to draw straight horizontal line with specific axis

Hello, I am currently working on my project and I am new to Matlab. My question is how to plot straight line vector with specific axis? For Example, I want to plot horizontal line that starts from 1450 to 1470 ( this is the x -axis )

Answers (4)

plot([1450 1470],[0 0]) % this line will be at y = 0 because I've given plot [0 0] as the y-coordinates
xlim([1400 1500]) % set the x-limits of the axes to something beyond the horizontal line so you can see it

2 Comments

You're welcome! Any questions, let me know. Otherwise, please "Accept This Answer". Thanks!

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plot? See Ch 9 in MATLAB Onramp. You might consider going through the entire onramp, too.
plot([1450 1470],[0 0])

5 Comments

If I want to apply on it Inverse Fourier transform will it work ?
That depends. It will do something. What is it you are hoping to accomplish by doing this?
I am designing a ideally filter that is constant around my required frequency H(w) ( Our Doctor specified that it is ideally ) and I am hoping to build it, so I can do ifft to get h(t) . After that, I will do multiplication or convolution between input and filter to get the output.
Not sure we can provide an answer with the information we have.
No problem, thank your for your help

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Hello Abdullah, you can use the plot function and give the x- vector as per your requirements like shown here :
x = [1450, 1470]; % x-axis limits
y = [5, 5]; % y-values for the horizontal line, you can set your value, 5 is used here for just as example
plot(x, y, 'k-') % 'k-' represents a black solid line
xlim([1450, 1470]) % set the x-axis limits
Also find a documentation of the 2-D graph plots here : Link
@Abdullah Alasfour I understand that you want to do bandpass filtering of a signal in the Fourier domain. While I don't have any examples of that exactly, I do have some other Fourier filtering demos that might help or at least be interesting. They are attached.
Basically you need to convert your signal to the spectral domain with fft, then zero out the frequencies (indexes) that you don't want, and then inverse transform with ifft

Asked:

on 18 Jul 2023

Answered:

on 21 Jul 2023

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