Explain the process of
sampling used digital communication
Ans
To understand sampling theorem
you need to know first what is sampling. Sampling is a process where you
convert continuous time signals(analog signals) into discrete time
signals(digital system). On paper CT signals are represented by "full
lines" where as DT signals are only "points" chosen from the
original CT signals. Now it is clear that DT signals are a rough representation
of thier respective CT signals. Now the question arises, why do we need
sampling? We need it because it is very efficient to use "rough" DT
signals in telecommunication instead of "precision" CT signals. Now
you may ask, if we're use "rough" DT signals doesn't the information
that is to be transmitted and henceforth recieved is also "rough" or
inaccurate? That's where the sampling theorem comes in.
The sampling theorem gives you a rule using which you can use DT signals to
transmit/recieve the information accurately. ST simply states that the
'sampling frequency' should be greater than or equal to twice the frequency of
the CT signal, where sampling frequency is frequency of sampled signals(DT
signals) to be obtained by sampling.
It simply means that when you're taking samples(choosing those
"points" from "full line") from the CT signal, do it in
such a manner that the samples("chosen points") are more closely
spaced. And also take higher number of samples(that is choose higher number of
points from the CT signal)
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