Time domain - tutorial 3: signal transformations
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- เผยแพร่เมื่อ 9 ก.ย. 2024
- In this video, we learn how different transformations can change the signal shape. Specifically, we cover time shifting & scaling as well as amplitude shifting & scaling. The concept behind each transformation is intuitively explained using music.
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References:
[1] Alan V. Oppenheim, Alan S. Willsky, S. Hamid Nawab, Signal & Systems, 2nd Edition, Prentice-Hall, NJ, USA, 1996.
[2] Alan V. Oppenheim, Ronald W. Schafer, Discrete-Time Signal Processing, 3rd Edition, Prentice-Hall, 2009.
[3] Michael D. Adams, Continuous-Time Signals and Systems, University of Victoria, Canada, 2013. Free textbook and lectures (courtesy of Dr. Michael Adams):
Link to the Dr. Adams' textbook: bit.ly/37rkwDC
Link to the Dr. Adams' lecture slides: bit.ly/2WrwHKy
Music - "COFFEE" by Josh Woodward. Free download: joshwoodward.com/
Someone call this man back already!!!!
I am still waiting ;)
This is incredible! Just started graduate school after years of working in industry, thought I still have a high level understanding of these concepts this series was a much needed refresher.
Thank you very much for your feedback. Pleasure to help ;)
Best signal processing series on youtube, thanks iman !
Best comment ever ;)
Life Saver!!!!! Best signal processing tutorial ever!!!!!
Thanks a bunch!
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Thank you very much, my friend!
I have never found a better explanation on signal transformation like your, what was incredible is you even gave applications, this is sweet. At first I couldn't understand why it is multiplied or divided.
Glad I could help! Thank you for your feedback!
Same Here. I wished my lecturer had explained it like yours
The fact that this gold content is free!!!.. God must be happy with me.
-(an atheist)
Lollll. The channel will stay free forever but accepts donation ;)
Amazing explanation. very clear and practical. Thanks bro
Glad it helped
Learning is fun with your videos Iman . Learned something new. Thank you Bro.
Kedareswar Naidu Tummalapalli thank you very much ;)
This is THE BEST explanation!! Thank you so much!!
Cheers!
Gotta say, these are fantastic. Thank you so much bro!
Gotta say, you are awesome ;)
you are awsome! every video is much more clear than any lecture
thank you
You are very welcome!
your teaching style is very good. I learnt a lot from this video.
Thanks a lot for your kind words. Cheers!
You're awesome, man awesome
You are awesome too :)
Great job
U r just amazing brother!!!i had watched 50+ videos of signal processing..but that was not understandable for me!!! And when u said that this is iman in x(2t) ..that made me laugh ...overall u r the best in this topic
You are most welcome and thank you for your lovely feedback!
At 0:46 to 1:00 really wonderful, it helped me lot sir, thank you sir
Pleasure to help Haseem!
This is really a good one:) Thank you!!
Thank you ;)
awesome sir, thank you
Pleasure to help!
Awesome ,
You are amazing , Thanks a lot for your wonderful tutorial
You are very kind ;)
THANK YOU IMAN FOR YOUR QUALITY CONTENT, PLEASE MAKE VIDEOS ON FILTERS
Thank you and please subscribe to stay tuned for more content!
It is Great Iman
amzing video! respect dude !
thanks for your kindness!
@@imanmoaz thank you brother for your supporting
THANK YOU FOR THIS AMAZING CONTENT❤❤❤❤❤
You're so welcome!
Sir can you please tell -x(t) and x(t)+ 1 with that example that you have used for others to demonstrate....
Btw really great explanation I'm enjoying signals for the very first time ❤❤
hi im curious about what happens if we multiply the amplitude by -1 I mean when we multiply the amplitude by positive integers its magnitude increases which is ended up as a louder voice but what really happens when we multiply it by negative integers what kind of difference does it make on the voice
5:00 priceless
Thanks a bunch, Nicola!
This is fantastic. This is actually fun to learn lmao.
Gald you liked it!
Great work!
Thank you!
thank you man!! very nice tutorial!!!
thanks again ;)
Dostum teşekkürler. thanks bro :)
teşekkür ederim ;)
This is very fantastic
big thank you
Thank you very much for your big heart, Israa :)
Incredible !
kaci islam makour thank you ;)
thank you
You're welcome
hi iman i have a question
if x(t) = t
then to graph x(2t) = t we could do this
2t = u => t = u/2, therefore x(2t) = x(u) = u/2 which doesnt make the graph you show in the video, what am i thinking wrong? thanks!
really great videos , you are really talented guy
thanks a bunch, it is very nice of you ;)
The videos are great but quick question, why doesn't the song play lime normal when I play it at x2 when you play it at slower pace
Can you please elaborate your question more?
@@imanmoaz I mean when you play a song at *2 speed, and I set the player to play at 0.5 speed. Shouldn't I get the same exact song as is. This I guess has nothing to do with the concept of time domain but something to do with the speed function in the players
@@rahulbathini2214 probably because of lossy compression of the audio file. Some information was lost, so we can’t recover the right pitch when we try playing at 0.5x. That was actually a good observation, Rahul!
just the examples!:DDDDD
I think that there is something wrong I will back later....good job thnks
LOL, great vid
thanks
so the signal processing concept is similar to seismic signal too???
Yep ;)
It is not rocket science. It is signal science. Lol
i prefer your voice in 1/2 x(t)
Hahaa! Why is that? Is my normal voice super fast or annoying :)
@@imanmoaz haha you sound more friendly :) can you possibly teach me how to draw a 2sin480πt + 3sin720πt? this is kinda urgent, thanks
You're cute :> thanks
Loll! Thank you!