I really liked this vid, but -- for talking to people who don't already know FT and related math -- your use of the Dirac delta function at about 5:00 might be confusing. The integrals in the example took me a while (and a Google search) to get past. Perhaps one of your side "remarks" would have helped. Cool, though; thanks!
Thank you very much for your feedback. I just wonder if you watched my lecture on elementary signals: ua-cam.com/video/wnnnv4wt-Lw/v-deo.html Hope this helps!
@@Kuchdelan I don't think I did. I was just fishing for a FT refresher; I found your video, and it was sufficient for me as a stand-alone resource. I do think your series is excellent, though, and I may go back and watch more. Cheers.
hi Iman Thank for providing such useful course to society. As you have expertise in this domain, I seek your help. Please clarify my doubts. To acquire the desired frequency range from a signal we have some methods such as FFT, STFT, WT, Digital Filters etc. What and which parameter we considered to choose best one?
Hi Heeva, I will! The creation process is currently very time-consuming and I am working on a platform to speed it up (Castofly). I will create a lot of tutorials on DSP in the future!
Hey, I have a doubt: Fourier transform is used only if the signal is non periodic? By the way, your videos are amazing. Thank you for spending time preparing this content.
I will recommend everyone to watch these videos. Your videos are the best
Thank you Abdul. Please do recommend my channel to your network. Best!
You are amazing, I came in knowing nothing and now I feel like a master. I can't wait to binge watch your videos!
It is a great pleasure to help you understand the concept. Have fun watching my videos and please lemme know your feedback from time to time ;)
@@Kuchdelan or from frequency to frequency
This one is so good Iman!!!
Pleasure to help!
Mr. Iman, I like the way in which you relate each concept to its applications. Thanks for your efforts.
You are most welcome and thank you for your positive feedback!
Hey Iman, you made FT super easy for me. Thank you....
Kedareswar Naidu Tummalapalli you are very welcome ;)
Good painting!
Thank you so much 😀
I really liked this vid, but -- for talking to people who don't already know FT and related math -- your use of the Dirac delta function at about 5:00 might be confusing. The integrals in the example took me a while (and a Google search) to get past. Perhaps one of your side "remarks" would have helped. Cool, though; thanks!
Thank you very much for your feedback. I just wonder if you watched my lecture on elementary signals:
ua-cam.com/video/wnnnv4wt-Lw/v-deo.html
Hope this helps!
@@Kuchdelan I don't think I did. I was just fishing for a FT refresher; I found your video, and it was sufficient for me as a stand-alone resource. I do think your series is excellent, though, and I may go back and watch more. Cheers.
@@drewdsaunders Thank you very much, Drew!
this is really amazing you explain it well , thank u
thank you for watching, ghadir ;)
Thank you sir. This series really helps me alot ❤️
You are very welcome!
hi Iman
Thank for providing such useful course to society.
As you have expertise in this domain, I seek your help.
Please clarify my doubts.
To acquire the desired frequency range from a signal we have some methods such as FFT, STFT, WT, Digital Filters etc.
What and which parameter we considered to choose best one?
My lecturer is good but for some reason the way you explain is just better 😂
Thank you Kamyar ;)
can you please make videos about Wavelet transform ? your explanation is really amazing .
Hi Heeva, I will! The creation process is currently very time-consuming and I am working on a platform to speed it up (Castofly). I will create a lot of tutorials on DSP in the future!
Hey, I have a doubt: Fourier transform is used only if the signal is non periodic? By the way, your videos are amazing. Thank you for spending time preparing this content.
Thank you for your feedback Emilly!
at 6:26 how did he make x(t)=1??
x(t) is given. As plotted, x(t) is one from -1 to 1. Hope this helps.
@@Kuchdelan yes great, thank you sir!
could you upload all your scratch ? so i can save it for my lecture note
Hi Shalahuddin. I might upload them on my webpage in the future. Thank you.
iman thank you so much. i am waiting for your next video! fourier in discrete time
My pleasure. Thank you for following the tutorials. I wish I had more free time to work on my channel :)
you are great