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Write an m-file "sampling.m", which will take as an input: a signal and a sampling step and will display the sampled signal and the magnitude of its Fourier transform. sampling.m
function sampling(x,step) plot(x(1:step:end),'-o') plot(abs(fft(x(1:step:end))))
use x as the input signal
x=(sin([0:pi/8:4*pi]))
Run the function with step=1.Increase the sampling step 2,4,8.... and observe what happens with the spectrum.
What happens with the spectrum as the sampling step increases?
What should be the minimum sampling frequency (maximum sampling step) of a signal?
GIS database: In a nutshell, we could say that the GIS technology integrates general database operations (data query and statistical analysis), along with the unique a
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