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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?
Power Spectral Density: To introduce the Power Spectral Density (PSD) of a random signal. To study classical methods for PSD estimation. To investigate model-based
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For large number of measurements the mean is calculated by taking a sample. Each sample that is taken has a mean. The mean of various sample difference from sample and are known to
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With respect to serial communication define the half duplex. Half Duplex Transmission: A channel of half duplex can send and receive, but not at same time. It's like a one-la
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