I have come to believe that this is the selection criteria in the previous models we have discussed
about the different kind of software and the same kind of hardware used for the software defined radio.
And we also understand some basic terms which are commonly used in the use of software defined, you
know, in this model.
We are going to discuss the different kinds of selection material which are used for software defined.
So the first topic in this market is motivation.
So this module is going to cover the different aspects of software defined you so that we can choose
our software defined.
Do you based on the important parameters, for example?
Venditte So we have to make it and get our software defined.
It needs to be support how much power I can trust.
What is to be the frequency coverage of the signal, the dynamic range of the signal, and there will
be a cost efficiency tradeoff for this one.
And then we have to see what since the software defined, you consist of a two part, a transmitter
part and see what part we have to check, how much power we can give to the receiver, and there should
be the artist's input to the receiver.
And the next one is that they need to discard it so that this part can be understood.
For, for example, suppose we have a kind of a system.
This is bits and we do a modulation.
Suppose I'm doing a quadrature amplitude modulation.
And after that we will give.
And Czinger, you see, you have.
Trust me to further the signal.
And in the U.S., we have an U.S..
We have a demolition of the.
And we had the demolition of Gwen.
And we have in the this so if I want to compare this and this data using this compare comparison, we
can find picture of it.
And if we want to compare this and this data at the more recent point, then you can conclude and let
me to and if you want to compare this recent data with this between data.
So using this comparison, we can find out the normalized means at their disposal.
And so to test the software defined and we have to check the parameters, which you will never see a
parameter.
If you have a good performance, then automatically all the parameters.
We have good performance in this topic.
We have studied the motivation for those selection.
Now, the next topic, we are going to learn about the venditte and in the case of this review system.