Discrete-time convolution sum and example

Discrete-time convolution represents a fundamental property of linear time-invariant (LTI) systems. Learn how to form the discrete-time convolution sum and see it applied to a numerical example in which an input sequence x[n] is convolved with a system impulse response h[n].

[@arooobine]

You explained this well in 6 minutes and it took my teacher 50 minutes to confuse me. Thanks!

[@jonasmourao5548]

Benjamin Hershey Totally

[@halvanhelev]

So true!

[@gianguyenngo4176]

My teacher spent 2 hour to make me understand this.

[@NostalgiaT]

how do u graph y[n]

[@BlessyGasagara]

Just went through an hour lecture on this, where you perfectly explained it in 6 minutes! Bravo!

[@NostalgiaT]

how do u graph y[n]

[@Moharidy]

@@NostalgiaT you start from point zero and then plot the amplitudes you calculated

[@oguzhanuz7752]

I created a youtube account just to thank you for this amazing explanation.Thank you!

[@youknowfayyaz]

Never commented on any vedio on KZbin before. Just wanna thank you. You explained it very easily.

[@remyaramakrishnan7798]

Superb Technique. Had been going crazy for an hour trying to figure out how it works and now what would normally be a tedious process has been simplified to simple straightforward multiplication and addition -Thanks!!

[@PunmasterSTP]

Convolution sun and example? More like “Cool video, and thanks for the clarification, which was ample!” 👍

[@linoyang195]

You explained very clearly and got me to understand completely in just 6 minutes, something I took an entire day to try to figure out. Thank you so much.

[@brando0007]

You just ended a long, ardous study session in 6 minutes. Thank you so much, I get it now

[@capnhatrick4402]

Nice job. We just went over the property of the delta function and a strange graphical line-up that I somewhat followed but was still a little messy. This was very clear and concise!

[@AbhishekPanditRA]

it took me just 2 min to understand .Really helpful

[@MrLilipili]

Awesome tutorial! U just saved my life! I've got exam tomorrow and i spend several hours understanding the convolution and ended up wasting my time! Thanks man

[@TheVideoVolcano]

why do you consider the impulse response n=0 as the 2nd digit in the sequence?? It makes sense for the x[n] because its the first digit.

[@JLasers11]

What happens when you have an input where the zero is somewhere in the middle along with the impulse zero somewhere in the middle? How do you find the zero of the y[n] in this case?

[@mecha214]

Thank You, you save the day!

[@BHARATKOTESWARAO]

Its fantastic !! Now every thing related to convolution is clear to me. Thanks a lot

[@sdrangerx3531]

Explained very well!

[@oguzhanozgur6650]

Simplest way to understand ! Great job man

[@NostalgiaT]

how do u graph y[n]

[@not1AM]

Thanks for this simplified and neat description. Now it is clear for me. Thanks again.❇

[@asadkhan-qr4xj]

Oh my gosh.. Our mam didn't taught us like that...... 😨😨😨😨😨😨... Its very easy....✌✌✌✌✌✌

[@illegalallan9256]

I completely understand why your 4 at your input signal is n = 0, but i dont understand at your impulse responds that 2 is your n = 0, why isn't it 1?

[@spongebob1477]

maybe it's just an example he design to be 2 at n=0 it's also mathematically ok to make it 1 at n=0, but will lead to different answer

[@federicafanigliulo6245]

@@spongebob1477 But with this choice h[n] is not causal, thus implying that the system is not physically realizable!

[@NostalgiaT]

how do u graph y[n]

[@MM-ks1zn]

wtf this is more straight forward an easy. Why anyone doesn't teach this method.

[@chaolinshi1816]

Clean and elegant

thank you a lot for your easy explanation. i always studied a lot this subject, i say "yes i understood" but again i forgut. i couldn't understand logic of convolution. tomorrow i have dsp exam and i really understood just now. thank you a lot.

[@chapusa1]

What if you move the origin for the signal x[n]? like if the function is x[n]=[4,1,2,-5]. The origin is now at 2. How would you convolve these two?

[@jonnyskelly]

Thanks, great explanation, has helped me prepare for my exam. Much appreciated.

[@beinomugishastephen7637]

you are a super hero

[@vhinque]

I am in the exact same case, and I have to thank you, I 've understood it perfectly now :)

[@WasimKhan-io8gl]

easy techniques learn from you

[@DANIEL655422]

Wow, thank you so much😄, you were able to explain to me in a few minutes what the lecturer failed to do all semester In addition, I wanted to ask if it was called the Barker code?

[@hanzimaster]

So y[n] is another set, so why use the sum operator? I thought that all the elements of y[n] would need to be added together...

[@ntspress]

Glad to help out, and thanks for the feedback!

[@teja-tf7hx]

Oh ! Thanks a lot , Great Video , plz keep on uploading such videos

[@chikaokolo4929]

Very easy to understand. Thank you

[@pedramasshabi8551]

Soooooo easy explained ......... Thanks!

[@vaishalivibestream]

thank-you soo much.... well explained😊😊

[@wamiqfahim9123]

Excellent explanation. Though my teacher explained it properly as well, she wasn't clear on the different index thing.

[@thetruereality2]

At 5:13 why didn't you fold the sequence h(n) Thank you for a wonderful explanation

[@drewsmith1145]

This is spectacular.

[@randamohd656]

Thanks a lot, it's so amazing, I understand it, really thanks a lot 😊😊

[@manzariluca]

Thanks a lot! Most effective explanation ever :)

[@xinfengli286]

It's clear, but if n=0 is in 2's position not 4 for x, how to calculate it?

[@nurausman1142]

Absolutely Stunning!!!

[@IshitaParakh]

That was really very helpful. Thank you!

[@srivatsamalali]

nice explaination i loved it thanks

[@jonasmourao5548]

Amazing man! Thank you very much!

[@tomc3213]

you are a good man

[@shubhamsawant9601]

Thanks

[@lagentedelnoc]

I think I love you now! Thanks!!!

[@aimaalakhume]

I'm still confused - why is n=0 for the impulse response at 2 and not at 1?

[@DrDrift-rl6cc]

I think it's simply defined that way, although all real-world systems should be causal.

[@thealexvsc]

Very helpful, thanks!

[@khaledelfakharany]

Great simplification :D

[@Hidd3nBlad3s]

AMAZING STUFF

[@FaizKhan-fm6kg]

You made my life easier. Thank you.

[@NostalgiaT]

how do u graph y[n]

[@hemSucluHemGucsuz]

great tutorail you are a superman

[@sasithawathmal]

wow, short and simple! :)

[@BetulKoc00]

great job, thank you!

[@Cristian-do7hb]

Thank you very much

[@shubhamsawant9601]

You make it tooo easy

[@Moharidy]

Is this video a part of a play list?

[@DJDiskmachine]

Wow! Finally I get it, thank u! ^_^

[@vinilsimoes]

Awesome !!!

[@rajdeepmitra2561]

Thank you.helful.

[@a.n.7338]

is there a reason why he wrote 4 not below 1 but below 2?

[@abdulbasheer354]

thanks a lot man

[@TheHiphopgems]

Thank you

[@aazz12900]

شكرا لك

[@hasnatkabir8903]

4:39 How you multiplied 1 by 4 .there should have a zero. No 4 is visible to me . PLz exlplain

[@MM-sc9vg]

Yep there is a zero but since 0 times anything gives 0 he just skipped that step

[@AtreeChaudhuri]

thanks a lot

[@oprasik9809]

How to know the n=0 point in input and impulse signal if not given??

[@a.n.7338]

Hawa Huri then it will be the 1st value given in x(n) or h(x).

[@shahrozahmad2542]

good video

[@Narendrakumar12]

awesome ..

[@chappydrums]

Thank you for the great explanation! Make sure to do the math on the paper by yourself also.

[@amruthkiran007]

thanks so much sir

[@Daniel-zp1wf]

thank u sir

[@bahjat1993]

Could you please upload a video that shows the Continuous time convolution

[@ntspress]

Try searching this channel for "convolution" and you will find kzbin.info/www/bejne/sKC1e416nrV6mtU.

[@NostalgiaT]

how do u graph y[n]@@ntspress

[@rohitalawadhi]

i love u!

[@twotwodugan1643]

i love you

[@abhinavnandan44]

how n=0 i located at 9?

[@hasnatkabir8903]

because 9 is summation of 1 and 8 both are in position 0

[@dumbasffff]

Are you Kal Penn?

[@LCsisyphus]

i love u

[@mariaelenacamacho8529]

No entiendo su letra mmmmmm???🤔

[@timothymeregini9949]

Fire my teacher and replace him with KZbin

[@KanitaKhaled5]

so sad. this video cuts out :(

[@NostalgiaT]

u should have graphed it at the end :/

[@chychywoohoo]

1.25x speed

[@AviaGaming123]

Thanks

[@coolbeans9939]

i love u

[@mans0ur_]

Thanks