How I can plot the magnitude and phase response oh the function
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i want do that for this function y=(4*sin(50*t)/(6*t)
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Answers (7)
sixwwwwww
on 19 Oct 2013
Dear Helda, here is an example showing amplitude and phase plots of your defined function:
t = 1:100;
y = 4 * sin(50 * t) ./ (6 * t);
figure, plot(t, abs(y)), title('Amplitude plot')
figure, plot(t, angle(y)), title('Phase plot')
I hope it helps. Good luck!
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Engr Muhammad Amir Shahzad
on 11 Apr 2020
@sixwwww. Why you used *fftshift* in plotting magnitude of signal?
David
on 20 Oct 2013
"How I can plot the magnitude and phase response of the function
y=(4*sin(50*t)/(6*t)"
From what I've read, it seems you want the amplitude and phase of this function in the frequency domain. If this is the correct assumption to make, then you will need to make a lot more specifications. You will need to know your sampling rate, Fs, and either your time of observation or the number of points you have sampled. After you have figured these out, look into 'fft' function MATLAB provides.
An alternate route would be to use MATLAB's symbolic toolbox. You will want to look into how to create symbolic variables and symbolic equations as well as how to use the 'laplace', 'subs', and 'ezplot' functions. Good luck.
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Afshin Aghayan
on 24 Jul 2017
Edited: Afshin Aghayan
on 2 Aug 2017
look at the following Matlab function, it can calculate phase spectrum as well as amplitude spectrum with a perfect accuracy:
https://www.mathworks.com/matlabcentral/fileexchange/63965-amplitude-and-phase-spectra-of-a-signal--fourier-transform-
This program calculates amplitude and phase spectra of an input signal with acceptable accuracy especially in the calculation of phase spectrum.The code does three main jobs for calculation amplitude and phase spectra. First of all, it extends the input signal to infinity; because for calculation Fourier transform(FT) (fft function in Matlab), we consider our signal is periodic with an infinite wavelength, the code creates a super_signal by putting original signal next to itself until the length of super_signal is around 1000000 samples, why did I choose 1000000 samples? Actually, it is just based on try and error!! For most signals that I have tried, a supper signal with 1000000 samples has the best output.
Second, for calculating fft in Matlab you can choose different resolutions, the Mathwork document and help use NFFT=2^nextpow2(length(signal)), it definitely isn't enough for one that wants high accuracy output. Here, I choose the resolution of NFFT=100000 that works for most signals.
Third, the code filters result of FT by thresholding, it is very important step! For calculating phase spectrum, its result is very noisy because of floating rounding off error, it causes during calculation "arctan" even small rounding off error produces significant noise in the result of phase spectrum, for suppressing this kind of noise you can define a threshold value. It means if amplitude of specific frequency is less than predefined threshold value (you must define it) it put zero instead of it.
These three steps help to improve the result of amplitude and phase spectra significantly.
IF YOU USE THIS PROGRAM IN YOUR RESEARCH, PLEASE CITE THE FOLLOWING PAPER:
Afshin Aghayan, Priyank Jaiswal, and Hamid Reza Siahkoohi (2016). "Seismic denoising using the redundant lifting scheme." GEOPHYSICS, 81(3), V249-V260. https://doi.org/10.1190/geo2015-0601.1
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Ammar Uddin
on 12 Feb 2018
How can I plot the magnitude and phase spectrum of this DTFT.
x(n) = a*n u(n)
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wyeen chow
on 10 Nov 2019
Hi, can i know how to plot a magnitude and phase spectrum for full wave rectifier? I had calculated manually?
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SRIKRISHNAN SRIRAMAN
on 10 Nov 2020
Consider a sinusoidal signal with frequency components of 5Khz, 12Khz and 14Khz .
Find and plot the magnitude and phase spectra of the signal.
Plz suggest me how
to code this question
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Gabriele Bunkheila
on 3 Dec 2024 at 18:45
Though some of the answers provided here may be literally correct, my sense is that the untold question is pointing to magnitude and phase of a Fourier decomposition. The short and simple example Discrete Fourier Transform may be more helpful in that respect.
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