Response of an LTI System: Convolution

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  • เผยแพร่เมื่อ 26 ธ.ค. 2024

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  • @sm79165
    @sm79165 ปีที่แล้ว +3

    3:05 "We're going to use *a* instead of *tau* and by the time I'm done I want _everyone to be as confused as possible_ "
    you somehow managed to capture my feelings of distain for signals and systems and whoever diabolical person invented it and decided to not keep the variables consistent, with just that one sentence thank you

  • @seandafny
    @seandafny 6 ปีที่แล้ว +40

    Have I finally reached a level beyond the scope of khan academy

  • @nipunasudha
    @nipunasudha 8 ปีที่แล้ว +39

    Always listen to him in 1.5x speed :)

    • @Edge9404
      @Edge9404 7 ปีที่แล้ว +6

      1.25x makes him sound like a normal person.

  • @balkey312
    @balkey312 8 ปีที่แล้ว +7

    extremely helpful. people like you that are getting me through my masters. thank you

  • @TheComplicit
    @TheComplicit 8 ปีที่แล้ว +5

    "If you get this wrong you're in serious trouble" I actually LOL'd

  • @circuithead94
    @circuithead94 11 ปีที่แล้ว +14

    Hi there thanks for this a great video. Please can u provide me with the link to the video where u have dealt with the concept of
    x(t) = integral x(tau) delta(t-tau) dtau from - infinity to infinity.
    Thanks !!

  • @Ensign_Cthulhu
    @Ensign_Cthulhu 12 ปีที่แล้ว +5

    Sir, you give excellent, easy-to-follow explanations, but I think it would be very helpful to those in self-taught TH-cam land if you gave links in your vids showing what to watch next (and possibly describing what we should have been watching just before). I feel like I'm skipping across your videos and missing a helpful linear progression.

  • @RandyLott
    @RandyLott 13 ปีที่แล้ว

    @DarrylMorrell Thank you Darryl. I've noticed that my textbook isn't very good at explaining the real world properties of systems, which is necessary for me to understand the topic. I appreciate the time and effort you've put in to help us.

  • @DarrylMorrell
    @DarrylMorrell  14 ปีที่แล้ว

    @apparentlife22 The Fundamental idea is that x(t) is expressed as an integral (which is a limit of sums); Each term in the sum is a value x(tau) times a delta function which is shifted by tau. Because the system is linear, it operates on each delta function to produce the corresponding impulse response; the x(tau), since it is not a function of t, is a constant as it passes through the system.

  • @DarrylMorrell
    @DarrylMorrell  13 ปีที่แล้ว

    @fingerboy18 The time constant is the amount of time it takes for an exponentially decaying signal to become smaller by a factor of e (to reach 0.3679 times its original value). In the signal x(t) = exp(-t/C), C is the time constant. The response of an LTI system is characterized by the poles of its transfer function; the time constant of a pole is the inverse of the real part of the pole. So the time constant of a system is the largest time constant of all of its poles.

  • @DearMajesty
    @DearMajesty 7 ปีที่แล้ว +3

    Works great on 1.5x speed or if you're in a hurry 2x speed

  • @jacobvandijk6525
    @jacobvandijk6525 3 ปีที่แล้ว +1

    Although mathematically CONVOLUTION looks like the sum (or integral) of a product (of two functions) giving you a number, it will "only" give you a third function (of t).

  • @FTNomad
    @FTNomad 12 ปีที่แล้ว

    I am glad how he is honest that the mathematics are so painful.

  • @eggrute
    @eggrute 3 ปีที่แล้ว

    Very easy to understand. Thank you for the video!

  • @supaamazinazn
    @supaamazinazn 13 ปีที่แล้ว

    Wow as an EE I am impressed... it's not easy to teach this stuff! My Fourier Analysis professor was joke compared to you... kudos!

  • @shikhasingh6865
    @shikhasingh6865 6 ปีที่แล้ว

    is convolution defined only for lti systems?if we have two non lti systems can we convolve them to get the output?

  • @RandyLott
    @RandyLott 13 ปีที่แล้ว

    I've watched many of your videos. I'm confused about the "time constants" of systems. My book has a problem that asks to find time constants, but the phrase is never mentioned in the chapter.

  • @keespoort
    @keespoort 8 ปีที่แล้ว +4

    at 7.29 isn't it x(t)*h(t) instead of x(t)*y(t)?

    • @keespoort
      @keespoort 8 ปีที่แล้ว +2

      nvmd... was taken care of

  • @5710fahad
    @5710fahad 10 ปีที่แล้ว

    does convolution consider common area between the two signals or the total area between the two signals ???
    Because from my knowledge of convolution it is the total area between the two signals at any instant of time...but while solving a GATE problem...i m nt able to get d answer...
    HELP plzzz...

    • @colinhales1566
      @colinhales1566 7 ปีที่แล้ว

      It computes the area under the product of the 2 functions

  • @irmaksaglam3782
    @irmaksaglam3782 8 ปีที่แล้ว

    Thank you.
    " If i know the impuls response to a system, I can figure out output of that system if i put any input into it by just working convolutiopn integral." What does this mean?

    • @DmK32625
      @DmK32625 8 ปีที่แล้ว

      +Irmak Sağlam yani diyor ki eğer bir sisteme input olarak impulse'ı soktuğumuzda sistemin verdiği tepkiyi yani output'u yani h(t)'yi biliyorsak bu sistemin herhangi bir input fonksiyonuna verdiği tepkiyi de convolution integral'i kullanarak bulabiliriz.
      convolution integral formülünde geçen h(t-t0)'da sanırsam impulse fonksiyonundan dolayı geliyor. Yani impulse t=0'da değer verdiği için ve impulse'la bir fonksiyon çarpıldığında time shifting'ten ötürü fonksiyon delta(t-t0) ya da kısaca tao olarak gösterildiği için convolution'da da h'ı t-t0 olarak gösteriyorlar. sanırsam yani ben de çok emin değilim şimdi çalışmaya başlayacam.

  • @yazanelmahmoud9947
    @yazanelmahmoud9947 ปีที่แล้ว

    math def of the delta function ?

  • @mnada72
    @mnada72 3 ปีที่แล้ว

    Extremely super helpful, thanks.

  • @mauroprovatos
    @mauroprovatos 14 ปีที่แล้ว

    @apparentlife22 it can become easier to understand if you look into convolution of a discrete time signal.

  • @sarganarkaad2277
    @sarganarkaad2277 6 ปีที่แล้ว +2

    “Black magic or voodoo....” , I guess we electrical engineers are all occultists

  • @4thKyuubi
    @4thKyuubi 12 ปีที่แล้ว

    Is this the Frequency response of LTI Systems? Is this H(omega)?

  • @abrahamhernandez3541
    @abrahamhernandez3541 5 ปีที่แล้ว

    Excellent Videos sir!

  • @mahakhan9762
    @mahakhan9762 4 ปีที่แล้ว +1

    "smacking it with a hammer"
    sounds about right

  • @joeLotfy
    @joeLotfy 6 หลายเดือนก่อน

    7:00 you're damn right it is black magic. my final is in 2 days. I hope I don't fail my dad is gonna screw me lol

  • @DearMajesty
    @DearMajesty 7 ปีที่แล้ว

    You are my savior.

  • @computo2000
    @computo2000 6 ปีที่แล้ว

    Great video!

  • @mehribaniasadi6027
    @mehribaniasadi6027 7 ปีที่แล้ว

    the videos are amazing just the only small problem is that you talk to slow

  • @sagarkhanal7613
    @sagarkhanal7613 2 ปีที่แล้ว

    Thankyou!

  • @LeonardoBritoVzla
    @LeonardoBritoVzla 11 ปีที่แล้ว

    Great video!! thanks!!

  • @yichizhang795
    @yichizhang795 10 ปีที่แล้ว

    thanks

  • @mehribaniasadi6027
    @mehribaniasadi6027 7 ปีที่แล้ว

    increasing of the speed was a great idea hahahaa thanks

  • @mauroprovatos
    @mauroprovatos 14 ปีที่แล้ว

    'whoops, and i did this wrong'
    .
    .
    'argh'

  • @samkowalski9879
    @samkowalski9879 3 ปีที่แล้ว +1

    I want you

  • @RubenVisawesome
    @RubenVisawesome 4 ปีที่แล้ว +1

    Might be the worst explanation I have ever seen.

  • @Link1088
    @Link1088 14 ปีที่แล้ว

    Black magic, got it.

  • @gaulovable
    @gaulovable 7 ปีที่แล้ว +3

    Are you sleeping while making the tutorial?

  • @mehribaniasadi6027
    @mehribaniasadi6027 7 ปีที่แล้ว +1

    you talk too slow, I feel sleepy to follow you

    • @qwerty.760
      @qwerty.760 6 ปีที่แล้ว

      use 1.25x speed :)