Discrete Time Convolution Example

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Gives an example of two ways to compute and visualise Discrete Time Convolution.

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One of the best intuitive explanations of convolution so far. Thank you!

lurrehsinigang

I continued the maths.... it makes sense 🥺

NestorESanchezArriaga

You got my like about 2 seconds in,
for your langauge / pronunciation alone;

At some point (I passed long long ago) hearing Indian English becomes tiring,
but hearing actual British English (or what sounds to me like that)... <3

peka

super helpful. Even if I had to think a little to make sense of the 'breaking up the components and adding them up', it helped me a lot when I got it how algebraically we're doing the same thing as adding up the figures

itdepends

dr andrews if youre seeing this please dont make quiz 3 hard

peterdisanto

It's so much easier to understand convolution in the discrete case imo. I think it should be taught discretely first, then continuously - especially if you start with the example of a system's unit impulse response :)

ethanmullen

This is a great help to understand convolution, thank you.

mnada

Why at the beginnin you put n=-1 at y[n] you get x[0]?

akanyerboluly

The result of discrete convolution between two signal looks like the coefficient obtain by multiplying two polynomials together. what would be an appropriate to explain this issue ?

tuongnguyen

WHY IS K ZERO AND ONE- HOW DO I DETERMINE THE VALUE I USE FOR K

moviemadness-omarelderiny

helpful but what if the response is negative ? will this still apply ?

kalvinsackey

Best video on convolution, Thanks a lot !

fisnikzogaj

Although some algorithms in the software does the calculation in a straight forward way, the decomposition of x[n] into a sum of its discrete components is a great intuition, which clarifies this concept so much. Algorithms can also be developed based on this method, I think it may not be any slower than the former method, if not faster. Thank you so much for sharing it!

LL-ueek

One confusion here: In the continuous time, we flip h(\tau), shift it by t, multiply with x(\tau), and then find the area to determine different values of y(t). In discrete time, it looks like we shift h(k) by n and then multiply with x(k), then add to get y(n). So, this flipping operation is not done in discrete time. Is my understanding correct?

nithinbabu

Finally, I think I am able to crack convolution quiz going to be happen tomorrow...

commissargamer

Very good. Thank you so much. But what does convolution say. Any inference would be a value add

dbharathi

I'm embarrassed I didn't realize convolution was a sum till you spelt it out.
I see the capital Sigma but somehow it didn't register. Until you.

Great work Professor
I'm really grateful

fikunmiajayi

thank you so much now i can understand how convolution work , From Algeria

highwayflammable

Hi Iain, I have been working on a PAM-3 differential code that I have not been able to find any similar code. I would like someone who has worked on Digital Comms research to analyze my ideas. Can I send you a small word document that shows the encoding? I am a senior design engineer who has been working for many years.

warrennordyke

That's a very Good method..I really Like It..Thanks:)

fareehaafzal

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