Derivation
To derive the criterion, we first express the received signal in terms of the transmitted symbol and the channel response. Let the function h(t) be the channel impulse response, x the symbols to be sent, with a symbol period of Ts; the received signal y(t) will be in the form (where noise has been ignored for simplicity):
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Sampling this signal at intervals of Ts, we can express y(t) as a discrete-time equation:
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If we write the h term of the sum separately, we can express this as:
- ,
and from this we can conclude that if a response h satisfies
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only one transmitted symbol has an effect on the received y at sampling instants, thus removing any ISI. This is the time-domain condition for an ISI-free channel. Now we find a frequency-domain equivalent for it. We start by expressing this condition in continuous time:
for all integer . We multiply such a h(t) by a sum of Dirac delta function (impulses) separated by intervals Ts This is equivalent of sampling the response as above but using a continuous time expression. The right side of the condition can then be expressed as one impulse in the origin:
Fourier transforming both members of this relationship we obtain:
and
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This is the Nyquist ISI criterion and, if a channel response satisfies it, then there is no ISI between the different samples.
Read more about this topic: Nyquist ISI Criterion