What is power spectral density psd (the concept) in analog communications systems Type :Ivical kostanic u will find his channel (florida institute of technology)
very good, I would like learn more about PSD, if any of you have bibliography of PSD (what is?, procedure, importance and aplications) please give me this. too, specifically about PSD in surfaces aplications. thank you so much.
Random process is a mapping from the sample space $\Omega$ to real-valued signals (waveforms). For example, if our sample space is $\Omega = \{H, T\}$, the realizations are \lambda_1 = H, \lambda_2 = T. Now corresponding each realization \lambda_i, we have a waveform X(t, \lambda_i). In our simple example, since we have only two realizations possible in our sample space, there will be only two waveforms $X(t, \lambda_1)$ and $X(t, \lambda_2)$. In general, we could have an infinite realizaitons possible. For example, if we take $\Omega = [0,1]$, then for each real number in $\lambda \in [0,1]$ is a realization. Therefore corresponding to each real number, we will have a waveform X(t, \lambda).
full list of lectures : Communications Theory: th-cam.com/play/PLzY6CURHfUarM0JnZ7f5UJLvz_Bm4f33_.html
Mohamed el shenawy
Kindly, Which Lecture that contains this discussion ?
This guy should be hired by Khan Academy, beautifully and intuitive explanation of the PSD!
I wish more professors would take the time to explain overarching concepts like this. Thank you very much.
much better explanation than many text sources
my god this guy makes the whole thing look easy. beautifully explained!
This guy is a genius. He explains Power Spectral Density very clearly and nicely. Thank you for posting this video.
Wow! First time that I really understood power spectral density! Many thanks to the professor and the one uploading the video :P
Superb Explanation!!!! nowhere could i find PSD of stochastic process explained this elegantly :)
This guy IS THE GUY! I'd like to have a teacher like this. He's simply a genius
Thanks for sharing!!!! Lifesaver :)
I had to watch this several times to get it. THANK YOU Professor.
He's so much better than my prof! Wish I had a lecture like this!
Thank you so much professor for this intuitive explaining on PSD
Talking about explanations, top job 👍
Wow, very intuitive explanation
Thank you very much for the crystal clear explanation!!
Thanks! this video really cleared an important concept.
Thank you sir great explanation
AMAZING VIDEO!!
Haven't you forgotten to integrate at the psd equation writen at 11:30?
Shokran ya Basha,, Jazak Allah kol 7'air ;)
thanx a lot for this video really helped a lot
What is power spectral density psd (the concept) in analog communications systems
Type :Ivical kostanic
u will find his channel
(florida institute of technology)
Superb lecture, I would like to the university he is teaching in??
It is a part of his lecture in Communication Theory list:
Communications Theory Lecture 13
THank you Mohammed for sharing this video :)
Hi thanks for sharing,
do you have the first part of this video?
Thanks
Great video. Thank you alot!
Well done mate
Nothing replaces a teacher with a board.
Great work!
Sir, if we have x(t) a WSS with PSD Sx(f) could you please tell PSD of x(2t-1). I'm stuck with this. Could someone please give some thoughts
What is the book of this course?
very good, I would like learn more about PSD, if any of you have bibliography of PSD (what is?, procedure, importance and aplications) please give me this. too, specifically about PSD in surfaces aplications. thank you so much.
this guy is great
Could anyone tell me please, what has been meant by "realisation" here ? i-th realisation ? Actually, what does lambda_i stand for ?
Random process is a mapping from the sample space $\Omega$ to real-valued signals (waveforms). For example, if our sample space is $\Omega = \{H, T\}$, the realizations are \lambda_1 = H, \lambda_2 = T. Now corresponding each realization \lambda_i, we have a waveform X(t, \lambda_i). In our simple example, since we have only two realizations possible in our sample space, there will be only two waveforms $X(t, \lambda_1)$ and $X(t, \lambda_2)$. In general, we could have an infinite realizaitons possible. For example, if we take $\Omega = [0,1]$, then for each real number in $\lambda \in [0,1]$ is a realization. Therefore corresponding to each real number, we will have a waveform X(t, \lambda).
Thank you!
BEST !
Also in real applications i don't have multiple realizations of the same signal
THANK U
ماتعرف تحجي عربي شسالفة يمعود 😩😩💔
Why is truncating a energy signal making it a power signal ?
I believe it is the other way round. Unending power signals are being truncated to form energy signals.
Thank you!