This is excellent - why cannot our own professors do something like this ? may be they feel guilty of doing their job properly - or may be they do not know how to teach like most professors are - she is exceptional .thank you !
Dear madam, i am generating a signal (PPM) and convoluting it with the wireless channel impulse response to get the received signal. For getting the correct Receiving signal, is it necessary for both (transmitted signal & impulse response) to have the same sampling rate? In other words, the width between samples should be same ???
awesome work! I just have a quick question - why you sketched the impulse function like it has amplitude 1? The impulse function has infinity as amplitude? Or it's just for simplifying whole problem?
The dirac-delta-function is defined as d(t) = 1 at t and 0 everywhere else. So you might have learned another definition, but according to this definition, everything that was stated in the video was correct.
This is excellent - why cannot our own professors do something like this ? may be they feel guilty of doing their job properly - or may be they do not know how to teach like most professors are - she is exceptional .thank you !
Thank you for explaining convolution with multiple impulses. I couldn't find it anywhere!
Excellent Professor !!. you have cleared all my doubts related convolution with impulses graphically.
You are a life saver!!!! You have made this problem so straight forward! You should be teaching my engn class!
Thank you!! I was having a hell of a time, especially with convolving unit functions with impulse functions!
Same here. Now its clear, thanks to this video.
You just saved my butt for an exam, thank you so much
Lots of thanks for uploading such a in depth videoof this topic.
I was looking for examples like these in the video. Thanks a lot!
I love your classes! Thank you very much!
Thanks Professor Wage, really simple to understand with your video!
you're so much better than my professor its crazy.
Amazing Explanation!!!!!
thanks so much, its seems obvious now but the integral of an impulse is equal to one, but i couldnt understand it before, thanks for the video
Thank you for all from my ❤️, excellent explanation
Dear madam, i am generating a signal (PPM) and convoluting it with the wireless channel impulse response to get the received signal. For getting the correct Receiving signal, is it necessary for both (transmitted signal & impulse response) to have the same sampling rate? In other words, the width between samples should be same ???
Clearly explained . Thanks prof.
Thanks Professor!
This was very helpful thank you
This was really helpful. Thanks a lot !
Thanks alot dear !! you really saved my day =D ^-^
Extremely great effort
nice and clean. tank you madam.
I really appreciate this work thank you
Still helping immensely
Ma'am u saved my semester
thank you so much, you explained it so easy
Great video. Thank you.
Why does the origin move to t?
why x(tau) exist at out of integral? why tau is transfromed t? i don't know why...
i'am from Algérien And good teacher😊
thank you so much for your help teacher ^^
Thanks professor !
awesome work! I just have a quick question - why you sketched the impulse function like it has amplitude 1? The impulse function has infinity as amplitude? Or it's just for simplifying whole problem?
The dirac-delta-function is defined as d(t) = 1 at t and 0 everywhere else. So you might have learned another definition, but according to this definition, everything that was stated in the video was correct.
Its area is 1
this is so helpful thank you :)
Cool! Thank You!!
What a homie
Thank you so much prof
Thank You!
NICE !!!!
Why the books don't explain a example like this?
Lathi has , but is not so clarified
thank you so much
perfect
didactic perfect
Thank you
its interesting one
thanks for your uploading
Delta(m)
m=tau-3
-m =-(tau-3)=-tau+3
Delta(-m)
Delta(-tau+3)
Delta(t-m)
Delta(t-tau+3)
--------------------
h(tau) = Delta(-3+tau)
h(-tau)=f(-3-tau)
h(-tau+t)=f(-3-tau+t)
Dear teacher, why your voice heard as shakin'?
Cataustrophical impulse
Thank you so much
thank you