Question

In: Electrical Engineering

please let me know reference of this MATLAB code. please explain this code line by line....

please let me know reference of this MATLAB code.

please explain this code line by line.

.

.

N=256; %% sampling number

n=linspace(0,1,N);

fs=1/(n(2)-n(1));

x=5*(sin((2*pi*10*n))); %% create signal


N=length(x);

f=[-fs/2:fs/N:fs/2-fs/N];

subplot(211)

plot(f,fftshift(abs(fft(x))));

title('|G(f)|');grid;

xlabel('frequency');

ylabel('|G(f)|');

%Zero padding

xx=[zeros(1,128) x zeros(1,128)];

N=length(xx);

f=[-fs/2:fs/N:fs/2-fs/N];

subplot(212)

plot(f,fftshift(abs(fft(xx))));

title('|Gz(f)|');grid;

xlabel('frequency');

ylabel('|Gz(f)|');

Solutions

Expert Solution

This code is see the effect of padding zeros in the signal. It increases the Resolution of the fft.

I have added comments to each line of code for your understanding

N=256; %The number of samples taken for x(n)

n=linspace(0,1,N); %creating the values of points @ where to sample the function x(n)

fs=1/(n(2)-n(1));   %sampling rate

x=5*(sin((2*pi*10*n))); %% create signal


N=length(x);    %length of the signal is equal to the number of samples taken

f=[-fs/2:fs/N:fs/2-fs/N];   %as we sample a signal with fs, We can only see the spectrum of it in the range -fs/2 to fs/2

subplot(211)    %making a plot of 2 images in one and usign the first image

plot(f,fftshift(abs(fft(x)))); %ploting the fft of the signal

title('|G(f)|');grid;

xlabel('frequency');

ylabel('|G(f)|');

%Zero padding

xx=[zeros(1,128) x zeros(1,128)];   %padding zeros at the front and back of the signal

N=length(xx);   %defining new lenghth of the signal

f=[-fs/2:fs/N:fs/2-fs/N];   %%as we sample a signal with fs, We can only see the spectrum of it in the range -fs/2 to fs/2

subplot(212) %making a plot of 2 images in one and usign the second image


plot(f,fftshift(abs(fft(xx)))); %ploting the fft of the padded signal

title('|Gz(f)|');grid;

xlabel('frequency');

ylabel('|Gz(f)|');


As can be seen, plot 2 has more details on the graph than plot 1. This shows the increases resolution of the fft


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