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Two solutions for analyzing a square wave signal. The first part plots the waveform in the time domain using matlab, while the second part implements the discrete fourier transform (dft) to represent the same signal in the frequency domain. The dft is computed up to 10 terms.
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Ans 1a) Square wave in time domain From 0<t<2 f(t)= 1 From 2<t<4 f(t)= x = [-1 0 0 1 2 2 3 4 ] y = [ 0 0 1 1 1 0 0 0 ] plot(x,y,'-r') title('square wave in time domain’) Ans 1b) n=1:2:200; b=2/pi./n; f=1/2; t=-5:0.1:5; for i=1: f=f+b(i)*sin(t/b(i)); end plot(n,b) title('Frequency domain ') %plot(t,f,'-r') %title('Reconstructed square wave using 10 terms') %xlabel('TIME'); %ylabel('AMPLITUDE'); Time domain 3 terms
Using 10 terms Ans 1c) Frequency domain upto terms
