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plot(abs(fft(vectorname)))the FFT function returns a complex vector thus when you plot it, you get a complex graph. If you plot the absolute value of the FFT array, you will get the magnitude of the FFT.
clc clear all close all a = [1 2 3 4]; b = [6 7 8 9 10]; f=length(a); g=length(b); h=(f+g-1); i=[a,zeros(1,(h-f))]; j=[b,zeros(1,(h-g))]; y1 = fft(i); y2 = fft(j); z = y1.*y2; c = ifft(z); subplot(2,2,1); plot(a) title('a') subplot(2,2,2); plot(b) title('b') subplot(2,2,3); plot(c) title('Convolution of a,b')
The face value of 3 is 3: the value of 3 is 3000The face value of 5 is 5: the value of 5 is 500The face value of 3 is 3: the value of 3 is 3000The face value of 5 is 5: the value of 5 is 500The face value of 3 is 3: the value of 3 is 3000The face value of 5 is 5: the value of 5 is 500The face value of 3 is 3: the value of 3 is 3000The face value of 5 is 5: the value of 5 is 500
Then the measured value is larger than the actual value.
If the value of a function cannot be determined for any value of the independent variable, then, the value the function seems to be approaching would be its limiting value for that particular value of the independent variable.