The explanation is fantastic, I was familiar with DSP before, but this one brought my knowledge to a new level. The explanation clearly includes the formulations and their visualization, making it crucial for us to learn the foundation. Thank you, sir!
I posted some critical comments on Lec 01 and it got deleted (presumably by the owner of the channel) after a few minutes 🤣. If you want your comments to be not deleted, sing paeans 🤣🤣. Even this comment will most likely get deleted!!
@@vvanamali6286 It is a free course. If you don't have anything nice to say, don't say it. It's not like you are paying the guy. So why should he listen to your whining?
@@hedgehog_fox It is silly to state that only "nice comments" should be posted. In the comment of mine that was deleted, I had pointed out things that were either misleading or incorrect. Examples: (i) x[a] when 'a' is not an integer is undefined and not zero. This point is glossed over when defining quantities like x[n/3], and (ii) while defining the derivative of u(t), it is being implied that delta(t) = infinity at t=0. This is wrong. Yes, the video is free. You seem to imply that misleading stuff can therefore be part of its content. Actually, if misleading stuff is posted, it should be called out so that those who are learning don't gulp it down unquestioningly. Without even knowing the contents of the deleted comment, you have been gratuitously labelled my response as "whining". Oh well.
Think of a graph of exponential when r < 0. It decreases, so does cosine amplitude in this envelope. So it is not like e^rt will have both upper and lower parts of the envelope, but rather exponential nature will create them.
Hello. Thanks for your videos. But can I ask why do we need to know that signal is odd or even and etc. Does it have sm meaning for processing or future manipulation of signal?
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The explanation is fantastic, I was familiar with DSP before, but this one brought my knowledge to a new level. The explanation clearly includes the formulations and their visualization, making it crucial for us to learn the foundation. Thank you, sir!
It's almost unbelievable how good these explanations are! Thank you so much!
best DSP series on YT
I posted some critical comments on Lec 01 and it got deleted (presumably by the owner of the channel) after a few minutes 🤣. If you want your comments to be not deleted, sing paeans 🤣🤣. Even this comment will most likely get deleted!!
@@vvanamali6286 It is a free course. If you don't have anything nice to say, don't say it. It's not like you are paying the guy. So why should he listen to your whining?
@@hedgehog_fox It is silly to state that only "nice comments" should be posted. In the comment of mine that was deleted, I had pointed out things that were either misleading or incorrect. Examples: (i) x[a] when 'a' is not an integer is undefined and not zero. This point is glossed over when defining quantities like x[n/3], and (ii) while defining the derivative of u(t), it is being implied that delta(t) = infinity at t=0. This is wrong.
Yes, the video is free. You seem to imply that misleading stuff can therefore be part of its content. Actually, if misleading stuff is posted, it should be called out so that those who are learning don't gulp it down unquestioningly. Without even knowing the contents of the deleted comment, you have been gratuitously labelled my response as "whining". Oh well.
After 3 whole semesters I finally get to understand this. Thanks a lot
Fantastic! It's very satisfying to grasp both math and signal concepts simultaneously.
This is insanely well explained. I now remember why I loved maths at the university.
this series explains the theory so much better than my profs thank you!
Best DSP course on TH-cam forever 🎉
Can you share the book of dsp and notes that are used in vedios.
This is epitome of effective teaching!
Thanks for posting this series! Helpful as I approach video processing and compression.
Thank you! Great material to watch over the summer
I immediately hear the aliasing on the background
Very good and easy to follow explanations. Also an easy to follow pace.
Very well taught, thanks Prof. Radke.
you going to save my life omg
Hi, thanks for very helpful series.
At 51:00, I'm not clear how the |C| * e^(rt) creates an "envelop". When r
Think of a graph of exponential when r < 0. It decreases, so does cosine amplitude in this envelope. So it is not like e^rt will have both upper and lower parts of the envelope, but rather exponential nature will create them.
Bro you are the BEST!!!!
Ağzına sağlık Rich ağabey
Great lecture!
For this Series, which textbook would be the most relevant?
Hello. Thanks for your videos. But can I ask why do we need to know that signal is odd or even and etc. Does it have sm meaning for processing or future manipulation of signal?
That’s because FS and FT have even and odd part too
¡Excelente trabajo!
Thank you sir !
Perfect!
danke
At min 20 I think it is Acos(phi) not A sin(phi)