In the previous topic, we have discussed about the cost efficiency tradeoff, no, in this topic,
we are going to learn about the error, the magnitude.
The error factor magnitude is also known as the idiom, so the avium can be defined as the the modulation
quality of the transmission, which is determined using the civil metric.
Suppose we have transmitted a signal and we have received a signal.
So it's modulation.
Accuracy can be defined with the help of either metric.
Moreover, to compute even that, a simple consolation is compared with the ideal consolation, as we
have seen earlier.
Suppose we are transmitting what kupinski signal?
A signal we have a consolation point, for example, suppose I am transmitting for signal we have a
for oscillation point here, so therefore to compute the avium, we have to compare the transmit and
receive cancellation point.
This can be also visualized from this plot.
This is this is our ideal symbol.
What we want to transmit is the ideal constellation point.
And this is the major symbol or that is the constellation point.
So the other vector for each point in the constellation is measured to provide the accurate modulation
performance.
So therefore, this is the error between the ideal symbol and the measure symbol.
And ideally it should be at near this, but practically it should not happen, therefore, that if the
criteria is different for the different symbol in the case of quadrature, amplitude, modulation.
So it is different for the normal, for signal for the 16 quem, the criteria is different.
For the 64 square, the criteria is different and for the 256 square it is slightly different.
So this might be approximately 20 percent, maybe 20 percent.
But here you come to approximately nine percent.
And in the case of 256 square, it come around three to four percent because in the 256 square.
So the other constellations, constellation points would be very closer to each other.
So in this scenario now, you should really as much as possible.
So as we have seen the magnitude even provide the motivation accuracy, and we have previously also
seen this, even the smallest inaccuracy can be seen in terms of the terror threat, or it can also
be like the normalized mean square error.
And we have also discussed if if IBM is good, then chances are high that maybe it will be good and
animacy is better than evil would be better.
So these are the different parameters which are used at different points in the communications system
to measure the transmission accuracy and to measure the algorithmic condition at the transmitter receiver
system.
No, in this topic we have covered that ever.
Next, we are going to learn the maximum RF input to the receiver so that we can find out how much maximum
power we can give to a receiver to avoid any damage to it.