Комментарии:
very nice and straight forward explanation
ОтветитьWonderful
ОтветитьFinally... One of the hundreds who showed what should I do with the output of FFT. Till now this was implicit.
ОтветитьGonna watch 30 more times then hopefully I will get it lol
ОтветитьI finally understood FFT
ОтветитьRemember guys, FFT's > NFT's
ОтветитьI first used FFT as a R&D engineer in 1979. It took a microprocessor and a load of custom electronics. Recently did it on an Arduino. Awesome progress.
ОтветитьThanks
Ответитьa lot better than many other videos out there.
Ответитьyou are the best, I do not understand nothing, but I pretty sure taht you're a fucking genious. God bless you
ОтветитьThere Is an error computing F1: the second term of the sum should be -1(0). It does not affect the final value because this product is 0, but for the sake of correctnes
ОтветитьBy far the best explanation of exactly how the FFT algorithm works that I have been able to find on the net. I recreated your code in c#, and compared to some common FFT libraries - got the exact same results. Great work.
Ответить🤗🤗 very easy to follow
ОтветитьI was about to thank you for using C++, then you had to go and mention python! WHY WOULD YOU USE A SUPER SLOW VIRTUAL LANGUAGE FOR AN ALGORITHM THAT IS SUPPOSED TO BE FAST!
Ответитьwow, dude you just solve my problem.
i'm literally looking for this for 3days and i found the answer at minute 21
You have great videos. You should continue making videos!!! Thank youu!
Ответитьwhile i calculating like normal DFT why do i get F1 = 0+0j not -2j?
ОтветитьThanks i literally transcribed the entire video into notes, very helpful
ОтветитьThank you so much!
ОтветитьThanks!
ОтветитьCan someone show me how he split them in two with more detail
ОтветитьWhy the first value after applying FFT on a one-dimensional array is always the greatest value?
ОтветитьThanks, Nice explanation!
ОтветитьAwesome - great job describing this!
ОтветитьF3 should have been F3 = j (-2j )= 2
ОтветитьHey buddy great video, what program did you use to make the vid?
ОтветитьThank you, 100/100
ОтветитьThis is such an amazing straightforward explanation when combined with your video on the DFT. This was impenetrable to me when I got my engineering undergraduate. I was just grateful at the time I didn't have to fully understand it to use it.
I hope at some point you consider teaching undergraduates. Even if you aren't an academic some of my best classes were taught by people from industry that wanted to make sure we got something useful.
Hello how x2 = 1, if you take 4 samples, x0=0, x1=1, x2=0 and x3 = -1, isn't it...at 6: 09 u splited even n odds but u considered x0 n x1 as odd. N other as even.. How? Plz correct me n guide
ОтветитьCool
ОтветитьThis is the greatest explanation of FFT ever! I hope that my knowledge and skills will allow me to pass my image processing test tomorrow😅
Ответитьthank you. I've been trying to learn FFT . your video is very helpful!
ОтветитьBest video on FFT
Ответить谢谢老哥,讲的太清楚了
ОтветитьIt is one of the best. Why do you stop your work? What can you say about Z transform?
Ответитьyour videos are beautiful! thank you so much!
ОтветитьDamn everything looks so fine unless you go into details :( Not even sure are they really mistakes or do I make mistakes myself. For example how e(-j4pk/N) = 1 in one case and it equals -1 in the other, when k=1 and N=4. Doesn't it make cos(p)-jsin(p) = -1 in both cases?
ОтветитьO my god, you are brilliant!
ОтветитьGod bless you
ОтветитьI've been trying to understand this algorithm for a long time, and this video made it click!
ОтветитьThank you for the video, it is very helpful. Can you make a video about inverse FFT?
ОтветитьNo sound
ОтветитьReally wish you'd have raised the volume to where we could hear it. No. P.S. NOT LOUD ENOUGH!!! P.P.S. Can't hear it!!!
Ответитьthis is no so simple :(
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