The search ends.. Finally an Excellent explanation of the concept with total clarity. Thanks a lot!
@mikexcohen14 жыл бұрын
And now my search for the best KZbin comment has ended! We may both go in peace ;)
@MeistroJB3 жыл бұрын
I sure hope so. Shouldn't take me that many more decades.... Omg! seven minutes in, it's true! Can't thank you enough.
@userhdza22483 жыл бұрын
i can confirm that i was looking for so long to know the use of spectrum untill setteled here
@OmniTraders2 жыл бұрын
What will this help exactly
@tidytelz Жыл бұрын
It is actually the best explanation I have seen so far.
@denisjoly43004 жыл бұрын
Thanks for the clarity of your explanations! I have to agree with other comments : you give the best lectures on signal analysis I've seen so far!
@mikexcohen14 жыл бұрын
awww, thanks!
@a.b32032 ай бұрын
Mike Cohen and Mark Newman. The saving graces of any learner. Good stuff mister 👍🏻👍🏻.
@Yalsha4 жыл бұрын
You are one of the best in the KZbin to explaining frequency. thank you for your effort
@mikexcohen14 жыл бұрын
You rock, Yasser!
@gregoryacacia80879 ай бұрын
Thank you so much that was so clear !! We have hours of courses in university and still understand nothing, but here with a 10 min videos everything is cristal clear !! Wonderful job
@mikexcohen19 ай бұрын
Glad it helped!
@mvelisompukuzela90342 жыл бұрын
You really made this easy, thank you. I was struggling with understanding these two domains but now the light is there.
@mikexcohen12 жыл бұрын
Thank you kindly, Mveliso. I'm glad you found it useful.
@jsmithtraveller Жыл бұрын
Thank you. I hope that conveys how much I appreciate you tutorials.
@mikexcohen1 Жыл бұрын
Thanks! I'm glad you've found them useful.
@johnrogers12513 жыл бұрын
In under ten minutes, along with clear pictures and verbal descriptions, you have removed the mystery (to me) of understanding the how/why/what-is-it-useful-for of Fourier transforms. I also appreciated that on the last slide, you explained the three things a student must be familiar with to do Fourier analysis (sine wave, complex numbers, dot product), and showed how the three things are combined to reach the end goal of Fourier coefficients. Thank you, and I look forward to watching your videos as I self-educate!
@mikexcohen13 жыл бұрын
Awesome, thanks John :) I hope you find the rest of my videos just as useful!
@johnrogers12513 жыл бұрын
@@mikexcohen1 I bought your course on Udemy, so I will give an assesment on the usefulness/understandability throughout the course. Overall, my goal in taking the course is to gain a better appreciation for signal processing.
@dakynshew41634 жыл бұрын
you r one of the top teacher ive met,now frequency domain is sooo clear ..iv searrch for many youtuber to make me understand it n i found none but only u sir.......people should watch your videos to clear thei concept......you r the first youtuber where i memories the channel name.......keep it up sir
@mikexcohen14 жыл бұрын
Happy to help!
@razor18874 жыл бұрын
I have been searching for a month. I can finally get an intuitive idea. Really appreciated!
@hishamtariq7054 Жыл бұрын
Thank you very much for providing a concise and informative explanation.
@roymccormick53282 жыл бұрын
Thank you very much for this extremely clear and helpful series of over 17 videos explaining the Fourier Transform from basic concepts. so super cool 😎
@mikexcohen1 Жыл бұрын
Glad it was helpful!
@knightx9405 Жыл бұрын
i gotta tell you for doing this video that, you are the definition of "Inner peace", at this moment :)
@mikexcohen1 Жыл бұрын
If you can't fall asleep at night, try playing this video :P
@sourabhkay2 жыл бұрын
Give this guy a medal!
@mikexcohen12 жыл бұрын
Thank you, kind internet stranger.
@joseph13058 Жыл бұрын
The best explaination I've seen of this so far.
@mikexcohen1 Жыл бұрын
Thanks :)
@TravisTerrell4 жыл бұрын
This is so clearly explained! Thank you!
@jurikang67319 ай бұрын
I finally understand why FT is used!! Was really lost in my digital image processing course for a while. Thank you for such a spectacular explanation, you're amazing!
@mikexcohen19 ай бұрын
Awesome :)
@yaminobia7159 Жыл бұрын
I am doing a math ia on this topic and this video is extremely helpful and easy to understand. Thank you so much
@mikexcohen1 Жыл бұрын
Glad it was helpful!
@carlosvillarreal19332 жыл бұрын
Hi, I use wavelets and Hilbert transform methods to analyze sea wave data for my Ph.D. in oceanography. Your videos and your book are really helpful. Thanks for your work
@mikexcohen1 Жыл бұрын
Thank you, Carlos. I'm glad you're finding these useful.
@ДеянЦонев-ы7в Жыл бұрын
Sir you are born to be a teacher ! I have follow your courses in Udemy and they are wonderfull too!
@mikexcohen1 Жыл бұрын
Thank you kindly, user-hg1mn3qo8x.
@tubarekolah17864 жыл бұрын
Finally, I can stop my search on this topic bcos I've got it
@mikexcohen14 жыл бұрын
Now you make me blush :D
@DavidClendenen2 ай бұрын
Finally, a clear explanation. Thank you!
@mikexcohen12 ай бұрын
Glad it was helpful!
@hparvizi3 жыл бұрын
FINALLY UNDERSTOOD this basic concepts. well done. thank you
@mikexcohen13 жыл бұрын
Awesome ;)
@bonjour56517 ай бұрын
Thank you so much!! I was trying to find a source to understand the difference clearly. You are awesome! I appreciate.
@mikexcohen17 ай бұрын
No, *you* are awesome!
@isaganicomia49582 ай бұрын
Thank you, this is the explanation im looking for quite sometime.
@bugraaksu12523 жыл бұрын
Wonderful explanation, brief, clear and simple. Lot of thankss..
@mikexcohen13 жыл бұрын
Awesome, I'm glad you found it useful.
@jasonstarr20362 жыл бұрын
Finally, a very clear explanation! Thank you for posting!
@mikexcohen12 жыл бұрын
:)
@bhupiistersingh40973 жыл бұрын
Great way to explain both the domains.
@Ranjit4uy2k4 жыл бұрын
Nice way presented the Noise, which i struggled before to understand. One Question... 1. In nose induced signal, time domain max amplitude goes to ~5. But frequency domain is 1. Could you clarify plz?
@mikexcohen14 жыл бұрын
I'm not sure which graph you're referring to, but the time domain signal is a combination of all frequencies. Noise is a good example of the advantage of the frequency domain, because noise amplitudes might be smaller in the frequency domain than in the time domain.
@Ranjit4uy2k4 жыл бұрын
@@mikexcohen1 This Clarified my query. Awesome explanation dude. Now I understand the FFT.
@wasilwestside Жыл бұрын
Hi Mike, I hope you are well. Absolutely beautiful way to explain the process, very impressive. Keep up the good work
@mikexcohen1 Жыл бұрын
Thank you kindly, Wasil.
@Ayoub.Naderei14 күн бұрын
the way you teach and also your contents are amazing :)))))
@mikexcohen112 күн бұрын
Thank you! 😃
@unknownworld1773 жыл бұрын
Thank you, you are great on this subjects. keep educating us
@mikexcohen13 жыл бұрын
Will do! Thanks!
@saraghorbani703 жыл бұрын
It was so beneficial to me, and the explains were so clear, but you pointed out why the amplitude is half of the distance between throughs and the peaks. Could you please explain that?
@mikexcohen13 жыл бұрын
Thank you, Sara, that's nice to hear. The answer to your question is in my playlist NEW-ANTS#2, don't remember offhand which video exactly.
@Christian-rf5zvАй бұрын
thank you for such a great and informative video!
@sukursukur36174 жыл бұрын
Can we say that: fourier transform is a crosscorellation of a time dependent function with sine or cosine function for different frequencies.
@mikexcohen14 жыл бұрын
Hmm, I would use that description for a wavelet analysis. The term "cross-correlation" means to repeatedly shift one signal relative to the other. The Fourier transform is better thought of as the correlation (not cross-correlation) between the signal and a set of sine waves. The correlation has two normalization factors that the Fourier transform doesn't have, but otherwise it's a good analogy.
@MGYTRAVELLERАй бұрын
Thank you for the clear explanation!!!
@imaginer044 жыл бұрын
A nice explanation with most clear concept.
@muhamadariefhidayat19142 жыл бұрын
thank for the clear explanation. i wonder how to interpret frequency domain in 2D. like image. each row in image can be interpreted like your explaination. but as we know that image contain many rows. how we can visualize frequency domain of many rows. in addition images have columns too. thank you
@salmanjamil12482 жыл бұрын
Wow! Excellent explanation!
@mikexcohen12 жыл бұрын
Glad you liked it :)
@ginmarx6104 Жыл бұрын
thank you ! easy to understand and visually striking !
@christianleyva316626 күн бұрын
Excatly what I needed, thank you.
@lolo-cz3yk3 жыл бұрын
Search ends
@shoebshaikh1790 Жыл бұрын
This is pure gold ❤
@mikexcohen1 Жыл бұрын
❤
@nasrink20863 жыл бұрын
Very great explanation. How we can convert from the time domain to the frequency domain in MATLAB? I used the following code to convert data from time domain to frequency, but the plots in the frequency domain are totally different from what I see in this video and I can not get information from them. This is the code: %% Compute the Fast Fourier Transform FFT of the refrigerator dt=.001; n=length(ref(9906:31449)); fhat=fft(ref(9906:31449),n); % Compute the Fast Fourier Transform PSD=fhat.*conj(fhat)/n; %Power spectrum (power per frerquency) freq=1/(dt*n)*(0:n); %Create x-axis of frequencies in Hz L=1:floor(n/2); %Only plot the first half of freqs figure; plot(freq(L),PSD(L)) title('FFT')
@lohithh92533 жыл бұрын
Wow..... What an explanation that is. Clear. Thanks a lot.
@arshadhussain7343 жыл бұрын
Crystal clear explanation! Thank you
@aminechniouel14182 ай бұрын
why do you count the picks and not the periodes of the signals ? thank you for the videos
@mikexcohen12 ай бұрын
You can also do that. I just counted the peaks to illustrate the concept.
@jaivalani46093 жыл бұрын
Thanks Mike this clearly explained . Can it happen Noise Amplitude starts dominating sinosodial waves meaning SNR
@mikexcohen13 жыл бұрын
Cleaning noise from a signal can be trivial, difficult, or impossible, depending on the nature of the signal and the noise. So there isn't one specific strategy that always works. But if the signal and noise have different spectral signatures, then filtering (e.g., FIR filters) is usually pretty successful.
@barbiliandan12 күн бұрын
Great video :-) thanks. Something is not clear for me. In the third picture (time domain) if I count how many "big" peaks there are i will observe tgere are only 2 large peaks until 1sec, therefore I could not understand why in the frequency domain for the third picture the we still have some information when freq = 5Hz. Thanks!
@mikexcohen110 күн бұрын
Great question :) The two frequencies actually cause some interference patterns, which causes the other features you see, like some peaks seem "lower" while others are "higher." It's another example of how signals get mixed in the time domain yet are easily separated in the frequency domain.
@Mulkek3 жыл бұрын
Thanks, and it's so easy & simple!
@frinikarayanidis44 жыл бұрын
Fantastic resources, thanks Mike!
@mikexcohen14 жыл бұрын
Thanks Frini!
@ckguleria72 жыл бұрын
finally I know what these frequency graphs tell...
@mikexcohen12 жыл бұрын
Nice ;)
@ErikaBeatrizDelgadoZhagui5 ай бұрын
Thank for such as great explanation!!
@mikexcohen15 ай бұрын
Glad it was helpful!
@salihaamoura2324 жыл бұрын
شكرا جزيلا لك thank you very much :)
@ComputerScienceLessons Жыл бұрын
EXCELLENT!!!
@Ranjit4uy2k4 жыл бұрын
One More Question-- I am in a way to convert a random road load data to PSD graph for FEA simulation. Could you help me understand the physics involved to simplify the data in frequency domain. Also need to understand the role of Gaussian or PDF in the algorithm!
@MrMec099 ай бұрын
Thank you, it help me here!
@kmsrog2 ай бұрын
hi, is there a difference in sound? i saw ifi ad from their dongle, instead of frequency domain they manipulate the time domain. sorry i don't understand any of your explanation(i am on health sector). thank you if you ever read and answer this.
@KingBaa-d6x18 күн бұрын
Amazing. Thanks
@husseinalsajer43813 жыл бұрын
nice ! please , if I want to create image from sampled signal ( sine wave for example ), how can get this please the image like white line and black line
@Pateriyadivya5 ай бұрын
searched a lot with the physical revelance of frequency domain and the search ended here. Thanks
@mikexcohen15 ай бұрын
Awesome :)
@thomasbayes21543 жыл бұрын
Thank you, I finally understood
@mikexcohen13 жыл бұрын
Awesome.
@yssjc14143 жыл бұрын
Very well explained!
@AriaBreath2 жыл бұрын
Thanks so much for this fantastic explanation :)
@mikexcohen12 жыл бұрын
Glad it was helpful!
@mechanicalbaba24843 жыл бұрын
Thats what I was finding, thanks
@xavihernandez64772 жыл бұрын
Mr., where r u all these time?
@mikexcohen12 жыл бұрын
Don't worry, I'm still around :) working on new courses, books, research, etc. And trying to enjoy the weather now and then!
@hannav71253 жыл бұрын
thanks Mike
@abbasbookwala Жыл бұрын
AT 3:50 when you say its difficult, yet possible to figure out the frequency components from the time graph, can you help how you would figure that out?
@mikexcohen1 Жыл бұрын
Well, you'd have to look at the time series data and count the number of peaks (or troughs) within a 1-second window. It's not very precise and can be impossible if there's too much noise.
@abbasbookwala Жыл бұрын
@@mikexcohen1 Thank you so much for your response
@friendshipgreat52902 жыл бұрын
Thanks bro for this awesome vedio
@mikexcohen12 жыл бұрын
You got it, bro.
@yasithsam9664 Жыл бұрын
Great Explanation :)
@mikexcohen1 Жыл бұрын
Glad you liked it!
@jasoncui26204 жыл бұрын
I'm your big fan
@mikexcohen14 жыл бұрын
:D
@zeynepbetulkaya36455 ай бұрын
thank you
@roymoran11513 жыл бұрын
Thank you.
@mikexcohen13 жыл бұрын
You're welcome!
@Rushikesh213 жыл бұрын
cleared all my doubts sir:)
@mikexcohen13 жыл бұрын
That's good. Doubts make you age faster, so I'm happy I can help you stay young ;)
@Rushikesh213 жыл бұрын
@@mikexcohen1 😅
@ahmedalwaheshi83343 жыл бұрын
Finaly i understand it thhhaaaaaannnnkkkkkk uuuuu ssssooooooo muchhhhhhhhhh u r a hero
@mikexcohen13 жыл бұрын
Yoooouuuu'rreee weeeeellllllcccooommmeee!!!
@nwars39613 жыл бұрын
Amazing, thank you ;)
@mehmetsensoy963 жыл бұрын
thank you for that's awesome video
@mertpurtas89132 жыл бұрын
That was purly ı was looking for .
@mikexcohen12 жыл бұрын
Nice :)
@SteveGergetz4 жыл бұрын
That was excellent
@mikexcohen14 жыл бұрын
Thanks Steve.
@tsehayenegash8394 Жыл бұрын
I want the code
@adhil89183 жыл бұрын
Thanks br0😁
@irethoronar343 жыл бұрын
Cristal Clear
@mikexcohen13 жыл бұрын
Noice.
@rabishrestha8043 жыл бұрын
Thanks wow
@aditikumari36774 жыл бұрын
Thank u so much it was really helpful 😇
@ahmednor58062 жыл бұрын
🙏🙏🌹🌹
@8ZER083 жыл бұрын
i love you
@mikexcohen13 жыл бұрын
I love you too, 808.
@3almne7 ай бұрын
In the second example, the amplitude must be 5 not 1