Correlation Example - Signal Processing #23

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Tutorials with Gary

Tutorials with Gary

Күн бұрын

A signal processing Correlation example to demonstrate the process behind correlation

Пікірлер: 11
@calinsa3880
@calinsa3880 5 жыл бұрын
when the first hit on youtube gives you a better explication than hours of lectures at uni ...
@TutorialsWithGary
@TutorialsWithGary 5 жыл бұрын
Haha, thanks!
@ignacio-araya
@ignacio-araya 7 жыл бұрын
Really nice explanation, thank you
@zz9758
@zz9758 2 жыл бұрын
Nice video! thank you very much ! I notice you choose circle shift when m increase. can you explain a bit more why or what difference to choose circle shift ?
@dannap8831
@dannap8831 Жыл бұрын
why does x2 shift to the left when evaluated at n+1? I can't udnerstand that! I thought n was in the time domain so adding to it would shift x2 to the right....
@douglasfregolente
@douglasfregolente 5 жыл бұрын
Very good explanation. Do you have a suggestion of a book about the subject?
@TutorialsWithGary
@TutorialsWithGary 5 жыл бұрын
Hey Douglas, Unfortunately I don’t. I began making this series because the resources at the time weren’t any good. If you go in search and find one though please report back here with the name to let others know :)
@harishlakshmanapathi1078
@harishlakshmanapathi1078 5 жыл бұрын
nice explanation bro would be somewhat better if you would put up some tutorials with the help of MATLAB and explain them much more visually in an impressive way. But either way it is a fantastic video over here that you made i got the key concept behind why we use this thing !!!
@TutorialsWithGary
@TutorialsWithGary 5 жыл бұрын
Hey! I can use MATLAB as a means to get me through the things i need but not confident enough to try to teach others. If you have any other MATLAB tutorials on KZbin you think would be helpful i'll happily include references to them in my description.
@rolandoaguilera3114
@rolandoaguilera3114 6 жыл бұрын
is this cross-correlation?
@scotthutchinson9769
@scotthutchinson9769 6 жыл бұрын
Yes, cross correlation is the correlation of two different sequences, as opposed to auto-correlation, which is the correlation of a sequence with itself.
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