In the previous Top-heavy, Sturdee, devoted to frank communication is tender and signals now we are
going to discuss the time and frequency domain analysis of signal.
So basically there are two domains that this time domain and frequency domain.
So all that your word is entanglement and the independent variable is here.
That is not only the you can see in here, there is a beep and its variation with respect to the time.
The second domain is the frequency domain.
And here the independent variable is of.
So this is at a presentation on the frequency domain.
Suppose we have a signal in that time domain that is called fighting and we want to visualize that signal
in the frequency domain that is called ViiV.
So then we have to use a transformer.
So the transformation is used to convert that kind of information to a frequency domain function.
So using transformation, we can convert the time domain signal to frequency domain signal and frequency
Loehmann's signal to the time domain signal.
So the advantage of converting the signal from time to frequency is we can visualize and deploy our
system at different stages and some mathematical operations are more easier in that particular domain.
That's why we require the domain transformation from time to frequency domain.
First, we are going to discuss the employment settlement so practically we can measure first we are
going to discuss the time to settlement.
So for an electronic signal, the time, the time domain analysis is mainly based on the voltage time
clock or the current employer entanglement analysis.
The variable is always measured against the time and we have seen in the previous slide.
So the variable is here time, the zero that is the cathode ray oscilloscope and the delay so that the
digital storage oscilloscope is the most common device when analyzing electrical signal on time to me
so we can Judah's time domain signal using a zero or so, as you have seen earlier in your lab experiment.
So this is the zero screen and you can visualize different signal on this screen.
Moreover, you can visualize this thing under the ASO also.
So other computer instrumentation graph and numerical data can be analyzed, can be used to analyze
data on time domain.
Suppose you have data in this format or in Excel format or in the case of Matlab or Scilab, there are
different software, some level which can provide data for you and you can analyze the data somewhat
in the case of time domain and in the case of frequency domain, using compute computer instrumentation,
we can draw the data similarly in the case of frequency domain measurement.
So cross formation is used, as we have discussed earlier.
So the most common transformation used in the frequency domain is the fruitier transform.
The four year transformation is used to convert a signal of an escape into a sum of infinite number
of sinusoidal waves, and the frequency domain can be visualized using any spectrum analyzer.
So you can see here.
I think the main signal in a frequency domain, so this is the this is the axis where frequency is given
and this is its amplitude.
So you can see here these are the signal.
So in this way, we can visualize a signal moment as well as in the frequency domain.
Suppose if you have a radio signal, then in the case of frequency domain, it will be visualized,
something like this.
So this is the noise floor and this will be your signal.
So in summary, we can say for the time domain measurement we can use zero or we can use Tertius or
for frequency domain measurement.
We are using a spectrum analyzer.
So using these two instrument we can visualize our signal.
For example, this instrument will be very much useful.
Suppose if you're transmitting a signal through your eyes, through your software defined radio, and
you want to visualize how you or how your signal will be, then you can connect your software defined
radio to the German laser and you can visualize your frequency domain content of the signal.
Similarly, you can receive a signal and visualize the frequency domain content using a spectrum analyzer.
Later on, they will also discuss how and Asgeir can we work and is it and how can we work with the
signal generator?
Next, we are going to learn about the decibel.