Continuous time convolution example: Barker sequence

[@ywilliamtin-l1q]

You are the best teacher ever Professor Kathleen Wage. Convolution was so difficult to understand. Now I know everything. I am preparing the FE electrical computers exam. Don’t take my words for it. She is the top notch ever in the United States. I wish add you as teacher. Thank you for teaching us.

[@cnhxxang]

I'm half way around the world but this video helped me greatly. Thank you.

[@FRIENDSForever-hh7dh]

i have been trying to understand this concept for so long. i wish i would have found you earlier. Very Nicely explained. Greetings from Pakistan.

[@ahmadmujtaba8138]

The best Explanation Just what I was looking for ❤️Love u

[@MiniBeastShowcase]

it is the first time that ı understood this topic god bless you

[@kommsk]

Now, I really got it....I was kinda confused about the limits of t.Thanks Kathleen, you made it very clear what to consider t and how to make sure to locate it...KUDOS

[@cerenmert3628]

thank you so much! I totally got all things about the convolution! excellent, thanks again.

[@TheTimaug]

Thanks Kathleen, Your explanation answers all my question on convolution

[@KarlJahn]

Well done! Really nice explanation.

[@randamohd656]

thanks a lot, it was a first time I can understand the convolution, thank you ☺

[@AJ-fo3hp]

Thanks a lot I understand,This method is simple, your explanation very very nice and easy to follow

[@makotanaka7822]

Best example so far!

[@tariqhabib8125]

Please do more Dr Wage. This was very helpful....

[@dinmukhamedzardykhan5815]

This is the clearest one so far.

[@allanrocha4647]

Excellent video and explanation!

[@sonukushwaha7352]

nice vedio .This vedio clear all my doubt. Thanks mam

[@واحةالشبكات]

thank you, if can apply that in match filter??

[@9904226510]

Put video on discrete convolution. My happiness will converge to infinity. Thanks

[@ekurtoglu]

You saved the day,thanks a lot :)

[@sohebismail1291]

Great work! Please post more videos related to continuous time signals

[@2rage]

Finally understand convolution. Thank you!!

[@김임덕-v2n]

thank you so much. Finally i completly understand.

[@bascelik91]

Hi, can you please tell me how do you determine the regions? Thanks

[@Kashiffareed-bf6li]

Why no new vedios

[@SafaBilginer]

Excellent lecture. ı will wait the other lec. about fourier and sampling

[@hamadhalbahrani8781]

THANK YOU SO MUCH CLEAR AND HELPFUL

[@elenmelen1850]

I am lucky to be her student this is very helpful :)

[@aldoramirez5497]

Excelente explicación. Gracias. Saludos

[@RSuarez66]

Excellent explanation! Thank you.

[@naelbest6915]

Awesome. Thanks, Prof.

[@Mehdi654400]

why t+1 , and t+2,, the professor wrote that t-T, and she has 1 and 2 point ,, shouldn't she write t-1, and t-2,, for the shifted signal??? thanks in advance

[@JasperEenhoorn]

Many thanks, really insightful!

[@llionstephen8224]

I have a question..I got x(t) = u(t-1) and h(t)=(e^(-2t)+e^(-t))u(t) and I want to know the Continuous-Time Convolution integral..I'm wondering if you can help me :)

[@MounirAbdin]

Well done very helpful

[@KRISHNAGARWALl060897]

Thanks a TON!

[@devshin8039]

nice explanation!

[@ghufranaliraqghufranaliraq1981]

you are great thank you very much

[@daemon_the_rogue]

Thanks mam !!! 😊

[@benjaminhodzic4840]

Thank you!

[@esekerrr]

Thank you! very usefull!

[@JeyLAB]

Muito bom.

[@mcdonald548]

Excellente

[@TheGmr140]

nice little video, me like

[@tanvirahmed705]

thanks,really helpful

[@amitparihar2714]

Thanks!

[@madansingh-uf2ud]

Good video

[@hshakarchi]

Thanks !!

[@diy-projects]

thanks!

[@demirel16]

It is very useful

[@zigzog5671]

how did i get here

[@muhammadhasnain7499]

thank you sir it really help me understanding convolution

[@burakosmanyellioglu1191]

thank you I have a exam tomorrow about signal and system

[@zynthos9]

Well done even if it could have been more concise

[@samiere]

protip: don't integrate...find areas of rectangles. youre overcomplicating it