It's 2024, and I understand a video that was made 7 years ago better than what my lecturer taught in class. Thank you so much for this, I really appreciate.
I spent many hours attending a refresher course and been watching lecture videos to understand this subject but none of them could really explain as clear and as simple as you did. You are a gifted Professor/Teacher as YOU ARE TRULY A DOCTOR (Ph.D.)! You can simplify a difficult topic into something easy to understand by students. I am a graduate in Electrical Engineering and preparing to take my FE Exam. I am thankful to GOD for you Professor and the people who uploaded this lecture video. More power to you. God bless you, Professor Kathleen and your family. I pray that there will be more teachers like you.
I have spent 45 min in class learning that didn’t get anything. Spent 17 minutes with your video now am ready for an exam. Thank you so much it helped a lot.
It's been 7 years since you posted this, and as such you may never read this - regardless I write here that have helped me more than you know. Thank you for explaining this in a manner which my textbook, professor, and other youtube videos could not. I hope you have a wonderful life
Thank you kindly. Loved your step-by-step approach with no over-use of mathematical jargons and whatnot. Most probably, my semester will be saved by you!
i spent more than 3 hours in order to learn this concept and watched over 5 videos but this one was the best tutorial i have watched so far. thank u so much
The way you explained the concept was just wow,my professor couldn't explain this whole semester but you cleared in just less than 20 mins...! thank you mam ..
I've seen a lot of videos on convolution with fancy graphics and gimmicks. This old fashioned one from almost 10 years ago blows those away in its clarity and comprehensibility
Thanks a lot, Kathleen. All videos I have watched until now they teached me the other way, I mean, to draw each graph, shift, multiply and sum, which was really difficulty to do in a short time. Now it´s much easier using the properties you described in here. Best regards.
I dont comment on youtube videos, this is probably my first one. I spent my ours and failed in my final because of this subject, but thanks to you Professor, I UNDERSTAND IT. The way you teach is amazing and the most understandable way ever( believe me I watched almost all this kinda videos). Thank you, you are the besttt!!!
Thank you so much for this explanation! I'm studying for my PhD qualifying exam and was having such a hard time finding a good video on this topic. You just made my life so much easier.
Hi prof.! Your description of the subject -by showing input/output relation in the level of simplest mathematical operations- made me to develop a better intution of the subject, i hope i'm going to nail it now.
Professor Wage, thank you so much for this presentation--you went over the material slowly and methodically and I was able to grasp it very easily. I was wondering if there is a shortcut method (maybe using discrete calculus?) to get this result in one step?
None so far before and after you have elucidated this well. Moreover they bring into play unit step functions which are easier to digest, yet doesn't give a more analytical approach i.e. analysing with intervals.
Dr. Wages, Thank You Very Much for all your videos. Have you ever thought of posting video lectures on Electric Circuits and Digital Systems? Hard to find lectures on UA-cam, where Electrical Engineering concepts are explained clearly. God Bless!
Nice explonation but let's see the problem with this method that you are using. This convolution is called the "sample-by-sample" one, which is good when the input and impulsive response don't have too many samples, otherwise it's a long process and should probably be done with other methods. Also let's say you have, for example, an input of x[n]=u[n]*2^n. This means that convolution will exist till infinity and this method can't be applied there (imo)
I don't understand why it's flipped? I'm trying to learn it from a DSP convolution reverb point of view. Whats the need to time invert the impulse response?
It's 2024, and I understand a video that was made 7 years ago better than what my lecturer taught in class. Thank you so much for this, I really appreciate.
What level are you bro?
I spent many hours attending a refresher course and been watching lecture videos to understand this subject but none of them could really explain as clear and as simple as you did. You are a gifted Professor/Teacher as YOU ARE TRULY A DOCTOR (Ph.D.)! You can simplify a difficult topic into something easy to understand by students. I am a graduate in Electrical Engineering and preparing to take my FE Exam. I am thankful to GOD for you Professor and the people who uploaded this lecture video. More power to you. God bless you, Professor Kathleen and your family. I pray that there will be more teachers like you.
I have spent 45 min in class learning that didn’t get anything. Spent 17 minutes with your video now am ready for an exam. Thank you so much it helped a lot.
LTI System
ua-cam.com/play/PLU1h6AEhPu52EzX-KO5g5KNsbzId28Vz3.html
It's been 7 years since you posted this, and as such you may never read this - regardless I write here that have helped me more than you know. Thank you for explaining this in a manner which my textbook, professor, and other youtube videos could not. I hope you have a wonderful life
Thank you kindly. Loved your step-by-step approach with no over-use of mathematical jargons and whatnot. Most probably, my semester will be saved by you!
Nathan Maruch you are also fed up of mathematical jargons I thought i was the only one
i spent more than 3 hours in order to learn this concept and watched over 5 videos but this one was the best tutorial i have watched so far.
thank u so much
Finally someone who can explain this. Thank you so much. You are amazing!
LTI System
ua-cam.com/play/PLU1h6AEhPu52EzX-KO5g5KNsbzId28Vz3.html
this is the best explanation on discrete time convolution in youtube.
The way you explained the concept was just wow,my professor couldn't explain this whole semester but you cleared in just less than 20 mins...! thank you mam ..
One of the best 17 minutes of my LIFE
I've seen a lot of videos on convolution with fancy graphics and gimmicks. This old fashioned one from almost 10 years ago blows those away in its clarity and comprehensibility
Easily the best video on discrete time convolution out there.
Thanks a lot, Kathleen. All videos I have watched until now they teached me the other way, I mean, to draw each graph, shift, multiply and sum, which was really difficulty to do in a short time. Now it´s much easier using the properties you described in here. Best regards.
Claudio Ikeda hey , can you speaking in FAC about education
you are the best
this helped me a lot with my signals final
thank you from saudi arabia
I dont comment on youtube videos, this is probably my first one. I spent my ours and failed in my final because of this subject, but thanks to you Professor, I UNDERSTAND IT. The way you teach is amazing and the most understandable way ever( believe me I watched almost all this kinda videos).
Thank you, you are the besttt!!!
I really needed someone to slow this down for me. Thank you.
Best toturial I have watched in signal and system
Simplified and easy way of explanation 😊 love❤ from India
Thank you so much for this explanation! I'm studying for my PhD qualifying exam and was having such a hard time finding a good video on this topic. You just made my life so much easier.
saved my life for a quiz on tuesday thank you so much
Haha good
Ok this video was too good. I have been struggling for days for a good sum convolution example. Thank you so much
Awesome. Thanks, Prof.
Tip for the readers:
In most of signal and system books, h and x are interchanged. So, take care of that.
Convolution is commutative that's why
BEST I'VE SEEN ANYWHERE!
Thank you professor. You saved my day with this convolution explanation
I've solved your example correctly now I can be sure that I've understood the concept correct and am ready for tomorrow's exam :-)))
Hi prof.! Your description of the subject -by showing input/output relation in the level of simplest mathematical operations- made me to develop a better intution of the subject, i hope i'm going to nail it now.
Best explanation of convolution! thanks you so much.
You are such a gift, I thank you endlessly ❤
Thank you so much, professor! Now I see the picture of convolution in dt signal
Great explanation on the concepts of convolution prof. Kathleen! Thanks alot.
honestly, thank you so so so so much for this video! i am truly very grateful
You are brilliant! Thank you for this video, very clear, and saved me a CAREER! :D
Best explanation for convulation sum👏
Thanks mam.This video totally clears my concept about discrete convolution.Thanks a lot.
very nice and educational video dear madam kathleen
Sorry I'm 7 years late to the party, but thank you. This explains it very well.
Superb. You"re best!!!
Thank you very much for your very amazing and helpful explanation.
Professor Wage, thank you so much for this presentation--you went over the material slowly and methodically and I was able to grasp it very easily. I was wondering if there is a shortcut method (maybe using discrete calculus?) to get this result in one step?
yes there are....view tutorials point channel
None so far before and after you have elucidated this well. Moreover they bring into play unit step functions which are easier to digest, yet doesn't give a more analytical approach i.e. analysing with intervals.
Amazing explanation, ty from Brazil!
ohh finally i got some one who helps me thank u
Thank you thank you thank you so much ma'm 🥺
Understand very easily ❤
Dr. Wages, Thank You Very Much for all your videos. Have you ever thought of posting video lectures on Electric Circuits and Digital Systems? Hard to find lectures on UA-cam, where Electrical Engineering concepts are explained clearly. God Bless!
Just wanna say, whoever you are, THANK YOU T.T
Amazing explanation, thank you
Dear Professor Kathleen Wage, there is a mistake at the beginning for y(0) = 2. It should be y(0)=2 instead of y(0)= 0. For y(n) = 0 for n
you're the life saver ma'm !!!
Mam, really nice and easy to understad video. thanks a lot!!
this is superb explanation, very helpful.
THANK YOU PROFESSOR..so muchh
Very help full thank you nd plz upload more
Thank you Dr.Wage
Best explanation ever 👌😍😍
Thank you!! This is a great help for my signals class.
Great video thank you
Very great explanation! Thank you!
great teacher thank u so much madam
Thank you! You make it easy to understand!
great mam. love u.never got it clearly in my btech.
Thanks from Korea!
Finally someone did all work thx
Great video , Thank you prof!
Thank you professor.
I FINALLY GOT IT ,,, thank you
Hi,
Thank you for the video. Can you explain please why h(-k) is the flip of h while for all the -k values, h is zero?
Thanks very much!
Excellent lecture mam u are great 👍
You're a life saver
excellent lecture
Great viedo, I finally understand
buen contenido audiovisual
thank you very much..great video..
Thank you so much! Finally!
very well explained. It helped a lot
Thank you very much , your explication helps me a lot !
great explanation!!!!!
thanks
THANKS MAM VERY MUCH . SAEED PAKISTANI
THANK YOU SO MUCH!!!!
ooh that is great thank you very much. it helped me a lot
you are better than my lecture...
this helped me a lot thank you
Excellent
Great Explanation :)
Thank you incredibly do much ...you are the one .
Good explanation.. thank you so much
Thank you, this is what i just need to buss
massive thank you
10:54 K moves from minus infinity to infinity. Shouldn't y[0] also include x[1] x h[-1] = 2 and add it to the sum?
Nice video, thanks!
Thank you sooo much....
my lord -excelent -thank u -pls solve convolution of ramp with delta function -thank u- amarjit advocate delhi high court india
This is great
good teacher thank u!
Thank you👍👍
it helped alot thnx
thank you
Nice explonation but let's see the problem with this method that you are using. This convolution is called the "sample-by-sample" one, which is good when the input and impulsive response don't have too many samples, otherwise it's a long process and should probably be done with other methods. Also let's say you have, for example, an input of x[n]=u[n]*2^n. This means that convolution will exist till infinity and this method can't be applied there (imo)
Thank you, very helpful!
I don't understand why it's flipped? I'm trying to learn it from a DSP convolution reverb point of view. Whats the need to time invert the impulse response?