Correlation Explanation with Demo

[@mwerensteijn]

Amazingly explained in simple words, thank you

[@PSYKOMANTISLEGEND]

thank you so much i don't want to explain why this video helped so much me but believe me you saved me.

[@hamidsediqi6475]

Thank you David! Really awesome video...I was struggling to understand this by reading around but you sir have made my life easy.

[@ddorran]

Thanks Hamid. Nice to hear you found it useful!

[@ff-ti7nj]

حمید اینجا چکار میکنی؟

[@tombouie]

Thks for explaining the crux of correlation

[@olgaskvorzova1142]

dot(a,b) will be definitely more natural to MATLAB (at least for thinking about correlation coeff as dot product of signals)

[@kushaltm6325]

Thank you very much .... this one and the next one on "Normalised Correlation" helped me in my image analysis class......... :)

[@sukursukur3617]

You have to make practice with this definition for fourier transform. Fourier transform correlates sin(wt) and cos(wt) functions with any function f(t)

[@fukgovernment]

Thanks for making it simple to understand

[@safatkhan6839]

WHY would we want to know about the similarity between two signals? How does that advantage us in, say, signal processing? I admit I'm only 3 mins into the video and so don't know if this issue is talked about in the video.

[@twelevefire]

It's useful when you compare two images. It's very helpful and useful in image processing.

[@chairulanshar2726]

Anyone please HELP and ANSWER me. How come for those numbers x = [ 1 3 -2 4] , Y and Z so on ? Where are those numbers from? I don’t get it!!!!

[@timcook3849]

Thanks alot.. 😀

[@puzzlepencilholder]

Great vid! Where can I learn about cross correlation? I'm writing a matlab code that can understand basic voice commands by comparing two audio signals. I'm using the resample function to make both signals the same length. However, if one signal is slightly shifted it kinda messes up the whole correlation calculation. What method would you recommend for this situation? THANKS!

[@ddorran]

Cross correlation would seem to be the way to go alright. Matlab has a built-in function xcorr that would be of help. xcorr returns an array of correlation values - if you take the max of these values this is (most likely) what you would get if shifted the signals to line up and then correlated. I'm going to put a video together on this sometime soon (hopefullly over the next few weeks). Best of luck.

[@puzzlepencilholder]

David Dorran Thanks! your vids are great

[@ddorran]

Check out kzbin.info/www/bejne/iICbpGSKp6qfe9k for cross correlation

[@ClayREZify]

+David Dorran How do I find a correlation between two audio files?

[@gmaillepre73]

what is the name of this formula? I cannot seem to find it on Google?

[@karenrangel1255]

Thank you so much! :) Excelent video

[@prakashm2633]

Hello sir..shouldnt we consider reflection of second signal for correlation ?

[@ddorran]

That's more close related to cross correlation kzbin.info/www/bejne/iICbpGSKp6qfe9k

[@meenakshics5697]

Great video!

[@slocm3z]

i don't even know what I just watched but its cool haha

[@sanjaykrish8719]

thanks david.. u made me understand correlation.. thanku so much...

[@OscarPerez-hh2qi]

Really helpful, Thanks!

[@j808]

Thanks for the great video :)

[@thetruereality2]

How is this different from convolution?

[@ddorran]

+thetruereality There is a subtle difference mathematically and a massive difference conceptually (at least initially). Check out my reply to Mehrdad Ahadi.

[@thetruereality2]

+David Dorran thanks a lot for that and thank you for the quick response

[@ddorran]

No problem. Good luck with your studies.

[@mouhcinehouda2978]

how we can compute the correlation of two continuous signals (not discrete) by python ! I need the code in python not matlab if you have it.

[@TheCampbell254bme]

Your plots are for continuous time lol not discrete. Use the matlab Stem function not plot.