Solving DFT of Cos Function Issue with MATLAB

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    Cos Dft Function
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SUMMARY

The discussion addresses an issue with performing a 5-point Fast Fourier Transform (FFT) of a cosine function at 100 Hz using MATLAB. The original code samples the signal at only 4 Hz, violating the Nyquist sampling theorem, which requires a sampling rate greater than 200 Hz for accurate representation. A corrected code snippet is provided, which uses a sampling frequency of 500 Hz, ensuring proper sampling and accurate FFT results.

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amaresh92
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greetings,
i have typed some code in MATLAB to find the 5 point fft of cos function of frequency 100hz but in answer i am not geting the answer at 100 hz.may i know where the things going wrong. the code is as this one

clc;
t=0:1/4:1;
x=cos(2*pi*100*t);
xm=abs(fft(x));
disp(xm)
p=0:length(xm)-1;
subplot(2,2,1);
stem(100*p,xm);



the answer is
5 0 0 0 0


thanks in advance
 
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Hi amaresh92. Tell me what you know about the Nyquist sampling theorem.
 
uart said:
Hi amaresh92. Tell me what you know about the Nyquist sampling theorem.
dont know why it has to be true
 
Ok. The problem is that your single is at 100Hz, but you are only sampling at at 4 Hz (4 samples per second). Sampling theory says that we have to sample at at-least twice the highest frequency component of the signal, so greater than 200 Hz in this case. What this means is that your "t" spacing must be less than 0.005.
 
Last edited:
Hi amaresh92, if you want a simple 5 point example then try this code and see if the results make more sense. :smile:

Code:
n = 5                    # Specify the number of points to sample.
fs = 500                 # Specify the sample frequency.
dt=1/fs                  # Calculate the inter-sample interval.

t = [0:n-1]*dt           # Create the sample vector.
x = cos(2*pi*100*t)      # Create the signal vector.
xm = abs(fft(x))         # Compute the fft magnitude.

df = fs/n                # Calculate the frequency increment of the fft.
ascale = n/2             # Amplitude scale factor.

                         # Plot fft magnetude. Note "reflection" about fs/2.
plot([0:n-1]*df,xm/ascale,'*')
 
Last edited:
uart said:
Ok. The problem is that your single is at 100Hz, but you are only sampling at at 4 Hz (4 samples per second). Sampling theory says that we have to sample at at-least twice the highest frequency component of the signal, so greater than 200 Hz in this case. What this means is that your "t" spacing must be less than 0.005.

thanks a lot
 

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