Hilbert Transform & Hilbert Spectrum | understanding negative frequencies in the Fourier Transform

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  • เผยแพร่เมื่อ 20 ธ.ค. 2024

ความคิดเห็น • 35

  • @samyalayse8945
    @samyalayse8945 ปีที่แล้ว +1

    you saved my final paper and undergraduation, thanks a lot!!

  • @sweatytoothedmadmen
    @sweatytoothedmadmen ปีที่แล้ว +5

    dude u saved me tons of work going through signal processing textbooks to understand the math and still not being able to apply anything, I was doing my neural signal processing homework, and this has saved me. Keep posting such cool content always :)

  • @hkopenh08519
    @hkopenh08519 ปีที่แล้ว +4

    You have explained this complex concept (pun intended) to me in the most digestible way. I am have seen other text and videos and still have doubts. Your video suddenly clear all those up! Big Thank you!

  • @pankajchauhan3797
    @pankajchauhan3797 2 ปีที่แล้ว +2

    I have a humble request, please keep posting videos; you have great knowledge. Topics like the difference between FT, HT, and LT. VMD

  • @jeljo3420
    @jeljo3420 ปีที่แล้ว

    Beautiful beginning ... I think I became your 1000th subscriber ... Godspeed Esther..🥰

  • @culpritgene
    @culpritgene ปีที่แล้ว

    Your explanations are amazing, would be really happy to see more content on this channel!

  • @quantumradio
    @quantumradio 9 หลายเดือนก่อน

    Very clear, concise, & practical explanation. Thank you.

  • @valor36az
    @valor36az ปีที่แล้ว

    Great series please continue explaining these concepts

  • @nickd4785
    @nickd4785 ปีที่แล้ว

    Brilliantly explained, thank you.

  • @onusbaum
    @onusbaum 3 ปีที่แล้ว +3

    This is again an excellent explanation, especially the background on FFT and "negative frequencies" !
    I am looking forward to the HHT video. Thank you very much, Esther :-)

  • @florentdueme5099
    @florentdueme5099 3 ปีที่แล้ว

    Thanks a lot for this video that was a really straightforward, illuminating explanation!

    • @florentdueme5099
      @florentdueme5099 3 ปีที่แล้ว

      Waiting impatentily for the video on the Hilbert-Huang transform : )

  • @rudhajassim9469
    @rudhajassim9469 2 ปีที่แล้ว

    very well explained, thank you very much!!

  • @TheGmr140
    @TheGmr140 ปีที่แล้ว

    Very nice video, thanks

  • @voidisyinyangvoidisyinyang885
    @voidisyinyangvoidisyinyang885 ปีที่แล้ว

    the imaginary component of the Schroedinger wave function is the quantum potential. Heisenberg discovered this is due to the negative frequency transitions in the phase - or I mean Professor Basil J. Hiley and Professor Alain Connes realized this noncommutative nonlocal truth. Please do a video on that - thanks for focusing on the negative frequencies. All the best,
    drew hempel

  • @xiaochenxin607
    @xiaochenxin607 ปีที่แล้ว

    Just a quick question, when doing the inverse Fourier transform, even if we have eliminated the imaginary part by adding it with its complex conjugate, the Fourier coefficients themselves are still complex number, wouldn’t they still result in complex number back into the time domain ?

  • @FreeMarketSwine
    @FreeMarketSwine 2 ปีที่แล้ว

    Hi, Esther - great video series. I have a question about the Hilbert Spectrum. My understanding is that the Hilbert Transform only results in one frequency at a given time, but the spectrum gives the energy over a range of frequencies. How do we get multiple frequencies/energies from the Hilbert Transform?

    • @FreeMarketSwine
      @FreeMarketSwine 2 ปีที่แล้ว

      ​@@estherexplains7521 Just to clarify, we're talking about a procedure that can be done even if EMD is not performed first, correct? It makes sense how it could be done in conjunction with EMD (although I would expect the amount of detail to be in line with the number of IMFs - but there seems to be a lot more detail than that in the plot at 3:00), but I don't see much on Google outside of an EMD context. Do you have a code reference you can link?

    • @estherexplains7521
      @estherexplains7521  2 ปีที่แล้ว +1

      @@FreeMarketSwine I am sorry, my previous answer wasn't well conceived. For the "plain" Hilbert transform and Hilbert spectrum without invoking the EMD, you really get only a single energy (squared amplitude) value and a single frequency value for each time step once we have transformed back into the physical domain. In the plots, it might appear as if there were several combinations of energy/frequency-values for a single time step but this is only a visual impression due to the high temporal resolution of the data. If you would zoom in, you would see that it is actually only a single value for each time step. And you are also right that when you use the EMD prior to the Hilbert transform, you get (maximum) as many energy/frequency combinations for each time step as you have modes. So three modes = max. three values (could be less if one or multiple modes do not contain significant information at the respective time step). I hope this clarified your questions! I will also try to provide some "hands-on" videos with matlab examples soon and I am planning to upload the code to gitlab, which might additionally help in understanding.

  • @tumpasaha7923
    @tumpasaha7923 2 ปีที่แล้ว

    hello, EstherExplains , thanks for your great video and for helping us. I have a request, can you add all the important references in the description box, so if anyone wants to read more about the topic, it will be helpful for those.

    • @estherexplains7521
      @estherexplains7521  2 ปีที่แล้ว

      sure, that's a very good idea! I will add some references in the next days :)

  • @paulbr81
    @paulbr81 2 ปีที่แล้ว

    Finde deine Videos sehr gut 👍. Deswegen wollte ich dich fragen, ob du deine Videos auch auf deutsch hochladen könntest oder Untertitel auf deutsch einschalten könntest? 🙂

    • @estherexplains7521
      @estherexplains7521  2 ปีที่แล้ว

      Hey, wenn ich mal etwas mehr Zeit habe, könnte ich mich um die deutschen Videos kümmern... du kannst ja auf jeden Fall die automatisch erzeugten, deutschen Untertitel nehmen. Ist zwar nicht perfekt, aber so schlecht sind sie auch nicht ;)

  • @soumenpurkait1214
    @soumenpurkait1214 2 ปีที่แล้ว +1

    Excellent.

  • @pankajchauhan3797
    @pankajchauhan3797 2 ปีที่แล้ว

    very well explained.

    • @estherexplains7521
      @estherexplains7521  2 ปีที่แล้ว

      thank you!

    • @pankajchauhan3797
      @pankajchauhan3797 2 ปีที่แล้ว

      @@estherexplains7521 One doubt I have can you please explain the MatLab code for the Hilbert spectrum.

  • @karanyadav7657
    @karanyadav7657 2 ปีที่แล้ว

    Very nice 🔥

  • @xinxinyu8104
    @xinxinyu8104 2 ปีที่แล้ว +1

    Very useful

  • @xamogxusx
    @xamogxusx ปีที่แล้ว

    Thank u great video

  • @xchen3132
    @xchen3132 2 ปีที่แล้ว

    Fantastic explanation! you are gorgeous!