In the previous topic we have discussed about energy use, often known this topic, we are going to
discuss about the.
So quite an open source software toolkit for the software defined radio that offers signal processing
blocks for the implementation of software defined produced.
And it consists of a lot of free will.
Signal processing libraries are available.
The advantage of by Tenez, that is, it is open source.
So it is free and taken advantage of by 10 is support if you want to and will transform Lababidi or
if you want a sampling kind of thing.
If any communication means that a different kind of communication system that are available in the fighting
itself and these codes are normally available on the GitHub or some of the repositories, so we can
direct link, so we contribute a code from this repository and used in word used in our system.
The second advantage is a large community based user development.
What is the advantage of this one?
Suppose nowadays machine learning is very important in this scenario.
So and if you want to implement some machine learning kind of application on the software defined radio,
then you need to write each and every code from scratch so you will get the machine learning.
Lovelady's on the python itself and using those machine learning languages, you can directly fold these
machine learning languages to your Asgeir software.
So that is the biggest advantage because you will get the latest kind of innovation in the field of
signal processing, as well as the machine learning algorithm, artificial intelligence algorithm.
So all these algorithms can be implemented on the hardware itself and due to the availability of use,
very powerful tools are available.
So these algorithms can be very much easily implemented.
And the best part is it is an open source software.
So if you are comfortable with Python, you can go with Python and use with your software defined you.
So in this topic, we have learned about the fighting and its application in August of last year scenario,
as we have discussed, deviously so does year consist of a two part?
One is the hardest part, and that is the basement part.
So in the basement part, you can have a vision, we can have a DP or we can have Jiefu.
So with the availability of digital systems, we can very much efficiently random learning and different
algorithm.
And it will definitely help us in this.
We know in the next topic we are going to learn about the American.