Finally some dark theme animations that don't destroy your eyes at 3 AM

@zachstar

4 жыл бұрын

Many people were requesting it lol

@Scorpionwacom

4 жыл бұрын

Personally, I don’t like dark themes. All the programs on my computer are white. So, please, don’t speak for everyone, Antonio. Too bad we cannot choose the design. Hey, is there a mathematical way to find an optimal solution that won’t annoy both Antonio and me? Looks like it doesn’t. Never mind, I’m used to be in the minority.

@p0rnab

4 жыл бұрын

@@Scorpionwacom go get a life

@Scorpionwacom

4 жыл бұрын

Sorry, Nabil, only normal people do have a life. I know that the majority likes black software.

@etasyr

4 жыл бұрын

Scorpy_ If you use Windows, pressing Windows Key - + followed by Ctrl - Alt - I will invert the colours on your screen for pretty much every application. (If there is default magnification, you can switch it to "100%" to turn it off). This will leave you with the blazing spectral sun you so desire to reside within your computer screen.

As an electrical engineering student who wants to understand these concepts, this video is gold!

@mahinstitute3418

3 жыл бұрын

couldnt agree more

@toby3927

2 жыл бұрын

so true

@user-qy6tu9ip9v

Жыл бұрын

@@toby3927 I don't understand this... I don't think I ever will..

@luckygamer9197

Жыл бұрын

@@user-qy6tu9ip9v you got this!

@Adhithya1002

Жыл бұрын

At least some people care to understand concepts. To be a really good engineer it is crucial to understand concepts this deep.

Wow, Laplace transform is like Fourier but it looks for exponentials as well as sinusoids? Holy crap, now it makes sense why the transfer function of a control system is the laplace transform of the system dynamics, you're looking at the exponential part for stability, and the sinusoidal part can tell you about performance. Fascinating!

@inigomeniego4906

3 ай бұрын

I will need some time to recover from this video

@clytle374

Ай бұрын

@@inigomeniego4906 yes, it hurt a little, good hurt, but hurt

I find this even more intuitive than 3b1b's, and that is saying something. Considering how good his explanations are, there is no over estimating how good this is! Thank you!

@NamanNahata-zx1xz

4 ай бұрын

Plus Zack also extends into engineering

@V7B817

3 ай бұрын

You should also look for Up and Atom video on this. She also describes it very intuitively and in a beautiful way

That's one of the best explanations of Fourier Transform I have ever seen !!!

@jmof0464

4 жыл бұрын

sudip banerjee look at the 3blue1brown video it dose not show you how to compute it but the intuition it provides it’s beautiful. It shows how the Fourier transform is a mathematical machine that wraps a function around a circle and measures the x output of its center of mass (measure) and lets you pick out frequencies from a mixed sum of frequencies. It’s awesome I love 3blue1brown

@abirsadhu5538

3 жыл бұрын

@@jmof0464 I was just going to comment it but have found you. Haha. Thank you

@tcratius1748

2 жыл бұрын

It is weird to think that the equation was developed before the complex machines we use today. Yet, the second example is omega t = pi x is a binary output of 0 or infinity, quite remarkable.

@saieswarchowdhari6623

11 ай бұрын

really

As Leonard Euler, I confess that it’s too damn complicated.

@jamesbra4410

4 жыл бұрын

but we couldn't do it without you?

@Varun73693

4 жыл бұрын

*Leonhard

@leonhardeuler9839

4 жыл бұрын

James Bra Indeed my child, just like you wouldn't have these symbols: √, i, e, f(x), Σ

@subhrajitroy1477

4 жыл бұрын

It's Leonhard Euler...

@LeoLokoII

4 жыл бұрын

@Bob Trenwith And the original conceiver of Nuka Cola Park

as a physicist, i found this to be the best, most intuitive no bullshit explanation of the fourier transform. the orthogonality and completeness relations make perfect sense now. fucking awesome job dawg!

3Major1Prep?

@sundaralingams8083

4 жыл бұрын

Exactly my thought 😂

@ahmedamraniakdi2143

4 жыл бұрын

yea, i thought this was some collab too

@SliverHell

4 жыл бұрын

you're a funny guy

@gammafirion9162

4 жыл бұрын

Ahh you did something to my brain

@ibonitog

4 жыл бұрын

yeah what is going on here?

HOLY SHIT this is the best explanation i ever got, i've been looking for so long for videos that would give the intuition behind those notions and i couldn't find one that resonated with my logic but this one hit hard, thank you so much!!!!

@adrianforbes7863

3 жыл бұрын

This one and 3b1b's video on the Fourier Transform are brilliant

@bromatath4901

3 жыл бұрын

Yes we could say this video resonated

I've always thought the simplest way to understand Fourier series is from a linear algebra perspective: First, define continuous function space, where the "inner product" of two functions is the integral of their product. Then the infinite set of Sin(nwt) and Cos(nwt) functions form an orthoganal basis that spans this space,. So any continuous function can be expressed as a linear combination of these "eigen functions". I haven't thought about this in years, but I think I still have the terminology right. Also, the Laplace transform is a special integration technique for solving the convolution integral. I believe that is where it came from. You should explain Laplace by introducing the concept of linear systems and superposition, then show how this leads to the convolution integral, then show how Laplace came up with a brilliant shortcut for solving these without having to do integrals. Just saying that's how I learned it centuries ago.

@sistemsylar

4 жыл бұрын

except this is better

@yousufo.ramahi126

4 жыл бұрын

I absolutely agree; introducing it using this linear algebra approach makes it far more intuitive. It then becomes glaring why we can filter by amplitude and frequency

@user-mn8th3ie1t

4 жыл бұрын

I can't agree with you more.

@salimdebit7638

4 жыл бұрын

Hahaha let me go ahead and confuse people even more by bringing up the abstract field that is linear algebra, which 99% of viewers watching this video are not familiar with

@steverobbins4872

4 жыл бұрын

@@salimdebit7638 Confuse people "even more"? So you admit this video is confusing? As for bringing up an "abstract" field (which actually has countless real world applications), people watch math videos because they want to learn MATH, otherwise they would watch cat videos.

For a second I thought it was 3blue1brown video😂 also the timing of the video couldn’t be any better, I have signals and systems exam in 3 days.

@taggebagge

4 жыл бұрын

Best of luck to you and hopefully there wont be any altercations with the exam in regards to the corona situation.

@tonystank1309

3 жыл бұрын

Same situation, dude! 3 days! 😂

@Wolf-yp2qk

2 жыл бұрын

Failed a signals midterm a bit ago; this video really helps...

14:01 can we just take a minute to appreciate how intuitively powerful this animation is?

@anandsuralkar2947

4 жыл бұрын

Yes exactly my thoughts at that moment

@Adhithya1002

Жыл бұрын

It's from Wikipedia. Yes that's animation is really powerful.

Ok... I've been using LaPlace for control systems for years and never truly understood what was happening behind the scenes, I came here to understand how the hell the Fourier Series work and I'm completely mind blowed, congratulations, I'll have a hard time sleeping tonight with all the concepts and ideas taking shape in my little brain.

This is THE definitive and the most comphrehensive video ever made on laplace transform. To anyone reading my comment, I would like to say that this is the ONLY video you'll ever need to understand the intuition behind this ingenious mathematical tool.

Wooow, I used the FFT (DFT) for years now and know the math. But honestly, watching 3B1B and the Veritasium version of it rather got me confused about my previous assumption. They do an ok job but they try to squash too much detail into a short YT video. I think what you did right here is the perfect explanation of how the FFT works, on a level that one can actually really fit in a youtube video. Well done!

@Amine-gz7gq

Жыл бұрын

he's not talking about FFT.

Been working with integral transforms since ~7years and this is the first video that actually gave me a graphical understanding of the transform itself. Awesome videos, mate!

You literally blew my mind. I have studied control systems and we've continuously used the concept of poles but after listening only do I understand the intuition behind using Laplace transforms. This is an absolute genius and a work of art! Thank you so much for this video @zach star.

This is really what I was looking for - a visualization that is explained slowly enough to catch its underlying thought while teaching a concept like FT. My professor always reminds us of the importance of understanding the underlying working principle, but fails to explain it in a way that would allow it. So really thank you for your effort in creating these animations.

He attac He protec But most importantly it doesn't want to go in my Head

@rachel1215

4 жыл бұрын

🤣

This is perfect! We have learned a month ago about Laplace Transforms and now we're learning the Fourier Complex Series. Since I'm studying an ICT Systems Engineering Degree, this is really useful for wave analysis and many other things. Kudos to you!

MajorPrep Converges to 3blue1brow

@SiddharthKulkarniN

4 жыл бұрын

Everything does eventually

@anandsuralkar2947

4 жыл бұрын

Lol

@justinw8370

4 жыл бұрын

Bakdi Abderrahmane yah I came here right after watching 3blue1brown’s videos on the Fourier transform but I must say their approaches to the problem are a bit different

Finally a great and simple explanation of Fourier Transform after days of searching and jumping from video to another. Thanks man, much appreciated.

I've always looked to understand the fourier transform and series..... all I can say is I landed on GOLD today. Thank you very much for the video. Very intuitive and I always love intution first before I dive into the calculations.

The connection between using impulses to find frequencies of the signal and showing a continuous fourier transform as a magnitude plot at varying frequencies, THEN showing how laplace is a generalisation. I'm amazed :) looking forward to my signals class now

12:14 This is actually really interesting, because in music, a square wave produces only odd-numbered harmonic overtones. So, in this regard, the "omega sweep" kinda thing here, when applying these waves to music, would reveal all the overtones of a given wave form. Thats super cool

@RanaKamikaze

2 жыл бұрын

That's LITTERALLY how we produce a square wave. If you use a spectroscope to find the overtones of a square wave (actually, of ANY wave), the spectroscope is literally performing (a variation of called Fast) Fourier transforms of the incoming signal. Pretty cool stuff tbh. No matter what you do, you can't escape maths. -A physicist, and a guitarist.

@baronvonbeandip

2 жыл бұрын

idk if you guys can hear graphs but the demostration of FM at 7:48 and AM at 11:09 is pretty interesting.

This is one of those great pieces of content where I can come back to it after months at a time and get something new out of it each time. Great work, Zach.

Hi Im self-quarantined @home. KZread is my school now. Thanks for the great lecture!

seen lots of similar videos always amazed with them but as electriacl enginner I never really undestand the formula or how the magic happens but your video is simply super educative this is the first time ever after 3 years of studing it I finally really understand it I am helpless of expressing how this video gets straight into the core and smash it out that easy . U own my life.

This is incredibly helpful. Currently reviewing my understanding on Fourier Transforms and this really helps me visualize and intuitively understand it

My God. 3 university courses compressed in 15 minutes and still making it more understandable. My God. Amazing video man, it brought my hands to my head when you arrived to the zeroes and poles

thanks! the visuals are the best I've seen so far towards helping me understand these transforms!

After having spent a good amount of time understanding DFTs and specifically the FFT algorithm, this video talking about how to intuitively understand transforms is just brilliant! Everything falls into place!

I had to learn this many years ago, and I wrestled with the concept until I figured it out. My girlfriend at the time said that I would sometimes stare off into space with a blank look on my face, and then suddenly have a "Eureka" moment and smile. This was also in the early days of microcomputers, and it took me quite a long time to visualize all of this since we didn't have access to videos like this. If I had seen a video like this as a student, the light bulb in my head would have lit up much earlier. This is the best video I have ever seen illustrating the concepts and nuances of the Fourier Transform. By the way, a short continuation of this video would also be a great way to show what windowing functions do by arbitrarily limiting the number of samples and showing the resultant "Gibbs Phenomenon" that Electrical Engineers who deal with digital filters learn to hate.

A spectrum analyzer can be thought of as a Fourier Transform machine. Oscilloscopes with Fast Fourier Transform (FFT) capabilities can do so as well.

So grateful to you for such an intuitive, mind blowing and brilliant explanation of such an important topic, which I guess most indian college professors themselves have no intuitive and graphical understanding about! I would have never understood the big picture behind these transforms it not for videos like yours!!

I've watch some video about this topic - Fourier, but your video give me a clear understanding about Fourier. Thank you very much!

This was a great explanation of these transformations I encountered with after close to 35 years of dealing with them!

I think this is the best explanation of Fourier transform so far. Thank you!

I must thank you this is by far the best visual explanation I've ever seen !

This is great. Please continue to make these videos. They are helping a lot of people!

Dammmmnnnnnnn! Why the hell was this so hard back in engineering college! This has been the best 40mins spent on a channel! I watched one of your Laplace transforms video as well! Honestly @3Blue1Brown and @ZachStar you guys should collab for such amazing videos!

Zach, thanks for the video. I haven't found anyone else explain it the way you do!

This is magnificent! I never believed that I would understand Fourier and Laplace transform ever! but Your videos are miraculous! You are amazing!!! :)

Bro. I love you. Genuinely, I love you. This video is a life saver. Best introductory video to Fourier and Laplace transforms out there.

Honestly, this is the video I always needed. Like for real, I thought I'd never understand it although 3 different professor tried to explain. It makes so much more sense to explain it with sin and cos than with an e-function. Thank you so much!

@codetech5598

3 жыл бұрын

e ^-i is really just a "cheat" to make the notations more compact. "i" or the srqt(-1) is just a "cheat" to come up with a "number" that behaves as an "operation" to give a 90 degree rotation. If you are on the X axis and you want to go negative, that is the same as going 180 degrees, which is also the same as multiplying by -1. But what if you only want to go 90 degrees? That must be the same as multiplying by a number that gives you -1 if you do it twice so that number must be the srqt(-1) which they call "i".

@sniper1326

2 жыл бұрын

@@codetech5598 wOw...😍

@sniper1326

2 жыл бұрын

@@codetech5598 Where did you learn this info from ?

Fall in love with your explanation. It is excellent content with graphics that are very to understand.

Thank you! I've been studying this topic all day without much success and I think it finally clicked in my brain!

This was really a brilliant, little lecture!! Thank you very much, Zach!!

I've been enjoying your videos, and especially this one! As someone who is very interested in Fourier analysis, I have to thank you for giving me better intuition of what is actually going on :)

This was the best video on fourier transform for me. Explained a complicated idea in such a simple and a intuitive way. I would have loved if it would have explained more on the meaning of the phase in fourier transform as well.

Thank you so much sir. I had really expected you to make a video on this.

Before watching this video, I'd never expected that it is so easy to understand Fourier transform and Laplace transform and the connection between them.

Excellent explanation! Finally someone tried to explain beyond just calculating the Fourier transform!

...... Allright I just stumbled on this channel looking up Fourier transforms. This video alone was worth the subscribe. Interested to explore more with your content.

Best explanation i've ever gotten, thank you!

Amazing. Thank you for sharing your intuition. I rarely feel compelled to leave a comment on a vid, but I'm just so thankful

Man, I spend years trying to understand Fourier transform. You help me a lot. Thanks

wow the intuitive explanation of the Laplace transform blew my mind!!

Guess who has a test in a few hours on Laplace transforms and systems of linear equations? *Me.*

@abeluchuya5547

4 жыл бұрын

Good Luck, is not that complicated!

@chiragmantri4947

4 жыл бұрын

Lol Nice 😂

@numankaraaslan

4 жыл бұрын

may god help you :D this is insane.

@Xilotl

4 жыл бұрын

@@numankaraaslan Thanks, it's not hard but there's a lot of things to remember

@Xilotl

4 жыл бұрын

I just finished it. I wasn't as bad as I though it would be. I was studying like crazy 15 minutes before the test (I studied before going to the school but I still reviewed my notes one last time before going to the testing center).

Now that is a blow up !!! Great effort! Thanks a lot

Thanks for this nice approach to the topic!!!!

This is the best explanation i have ever seen. Thanks a lot!

This is some serious explanation. I wish all people would explain it like this. This needs to be preserved

Excellent presentation. Very very useful and simplified explanation. Thank you 👍

I kind of wish you had mentioned the "process" starting at 9:27 as "correlation" (sum of products in discrete terms), which would have been the perfect little bow wrapped around this great amazing gift you're giving to us!

This was amzingly brilliant. Thank you so so so much.

i solved a lot of pole zero plots exercises but i never understood what they represent until i watched this vedio; zach star, you are a star.

The best explanation I have ever seen of the math involved in transforming to the frequency domain.

Very good video! Great use of illustrations!

Great video, makes much more sense than what I've been taught. If you ever have the time, I'd be greatly appreciative of something on impulse and the dirac functions.

This is a fantastic video! Really great way to learn visually.

Fantastic explanation - I really struggled learning the Fourier transform / series during school.

Very nice presentation! The animation from 5:20 to 5:30 in particular was worth a thousand words to me.

This is a great little introduction to the subject!

@09:45 I literally shouted genius. Really awesome and intuitive explaination Zach 👌

I applied fourier transform to best teacher waveform and i got Zach Star ⭐

Fantastic just working on this subject in my research

Dang, its not even been 4.5 minutes and I'm already connecting this to several things in my Vibration Control course. Nice stuff my good sir!

Very good explanation. Really appreciate the material.

thank you so much for this explanation! really helped with the intuition behind all this

You earned a subscriber. The only math video that has been on the same level as 3B1B. I love it.

Thanks for making simple to understand ❤️👍 giving us a clear explanation of this ...

This was so beautiful. I love you 💕

Beautiful visualization!

This video, along with 3blue1brown videos really help visualizer what's going on. Back when I watched 3b1b vid about Fourrier transform it gave me the intuition for why the integral of two cos or sin is only non zero when you are multiplying 2 cos with same fréquency or two sin with same frequency. You can show with trigonometry and a little bit of calculus that if you take an integral of two cos functions which have different frequency, and the boundary of the integral is any common period of those two trig functions (I know this is not a term, my English is not good, but I hope you all understand what I want to say, for instance the boundaries of the Integral for cos(4pix) cos(8pix) can be one half or 1 or 3/2 or any multiple of one half (because one half is the lowest common denominator of the period of those two functions). The common period of two cos or sin functions is any denominator of the periods of two functions, or any common divisor of frequencies of two functions). But honestly, doing the math gives no intuition whatsoever of what is going on, it is just an interesting result that appears out of nowhere. after watching videos like this and videos from 3blue1brown I was like aha, so now I would have expected this result even before I calculated it. Bravo for the video it really helps understanding what's going on. Here's the math which to me doesn't give much intuition. We need these trig formulas. cos(a+b) = cosacosb - sinasinb cos(a+b) + cos(a-b) = 2cosacosb (1/2)(cos(a+b) + cos(a-b))= cosacosb β = a + b, θ = a-b β + θ = 2a a = (1/2)(β+θ) θ - β = - 2b b = (β - θ)/2 (1/2)cosβ + cosθ = cos(1/2 (β+θ))cos(1/2(β-θ)) cos(a-b) - cos(a + b) = cos(a) cos(b) + sin(a) sin(b) - cos(a) cos(b) - (-sin(a) sin(b) ) = 2sin(a) sin(b) sin(a) sin(b) = 1/2 cos(a-b) - cos(a + b) cos(a+b) + cos(a-b) = 2cosacosb (1/2)cos(a+b) + cos(a-b) = cosacosb cos(mx) cos(nx) = 1/2 cos((m+n)x) + 1/2 cos((m-n)x) if m != n Integrating over a period T can be done by setting boundaries to - T/2 and T/2 or 0 and T. \int_{x=0}{x=T} cos(mx) cos(nx)dx = 1/2 \int_{x=0}{x=T} cos((m+n)x)dx + 1/2 \int_{x=0}{x=T} cos((m-n)x)dx int_{x=0}{x=T} cos((m+n)x)dx = 1/(m+n) sin((m+n)x) x = T 1/(m+n) sin(mT+ nT) = 1/(m+n) sin(mT)cos(nT) + sin(nT)cos(mT) = 1/(m+n) (0+0) = 0 x = 0 1/(m+n) sin(0) = 0 int_{x=0}{x=T} cos((m+n)x)dx = 1/(m+n) sin((m+n)x) = 0 - 0 = 0 if m=n _||_ int int_{x=0}{x=T} cos((m+n)x)dx = 1/(m+n) sin((m+n)x) = 0 - 0 = 0 \int_{x=0}{x=T} cos((m-n)x)dx = 1/(m-n) sin((m-n)x) _||_ \int_{x=0}{x=T} cos((m-n)x)dx = 1/(m-n) sin((m-n)x) = 0 - 0 = 0 If m = n cos(mx) cos(nx) = 1/2 cos(2nx) + 1/2 cos(0x) = 1/2 cos(2nx) + 1/2 \int_{x=0}{x=T} cos(mx) cos(nx) dx = 1/2 \int_{x=0}{x=T} cos(2nx) dx + 1/2 \int_{x=0}{x=T} dx = 1/4 sin(2nx) + x/2 x = T 1/4 sin(2nx) + x/2 = 0 + T/2 x = 0 1/4 sin(2nx) + x/2 = 0 \int_{x=0}{x=T} cos(mx)cos(nx) dx = T/2 - 0 = T/2, if m=n Sin sin(a) sin(b) = 1/2 (cos(a-b) - cos(a + b)) sin(mx) sin(nx) = 1/2 (cos((m-n) x) - cos((m+n)x) if m != n \int_{x=0}{x=T} sin(mx) sin(nx) dx = 1/2 \int_{x=0}{x=T} cos((m-n) x) dx - int_{x=0}{x=T} cos((m+n) x) dx int_{x=0}{x=T} cos((m-n) x) dx = 1/(m-n) sin((m-n) x) x = T 1/(m-n) sin((m-n) x) = 1/(m-n) * 0 = 0 x = 0 1/(m-n) sin((m-n) x) = 1/(m-n) * 0 = 0 int_{x=0}{x=T} cos((m-n) x) dx = 1/(m-n) sin((m-n) x) = 0 - 0 = 0 int_{x=0}{x=T} cos((m+n) x) dx = 1/(m+n) sin((m+n) x) _||_ int_{x=0}{x=T} cos((m+n) x) dx = 0 int_{x=0}{x=T} sin(mx) sin(nx) dx = 0, m !=n If m = n sin(mx) sin(nx) = 1/2 (cos((m-n)x) - cos((m+n)x) = 1/2 (cos(0) - cos(2nx)) = 1/2 (1 - cos(2nx)) = 1/2 - 1/2 cos(2nx) \int_{x = 0}{x = T} sin(mx) sin(nx) dx = int_{x = 0}{x = T} 1/2 - 1/2cos(2nx) dx = int_{x = 0}{x = T} 1/2 dx - 1/2 \int_{x=0}{x=T} cos(2nx) dx = 1/2 x - 1/4 sin(2nx) x = T 1/2 x - 1/4 sin(2nx) = T/2 - 0 = T/2 x = 0 1/2 x - 1/4 sin(2nx) =0 - 0 = 0 int_{x = 0}{x = T} sin(mx) sin(nx) dx = T/2 -0 = T/2n

a small correction: at 13:00 the integral is not infinity not because the a1 is too small but because f(t) is zero outside the interval -0.5 < t < 0.5

@douglas5260

3 жыл бұрын

thanks

Thank you for this AWESOME video 😊❤️

Best explanation I've come across. Thanks a lot for the help.

How a spectrum analyzer works... Wonderful! Thank you!

Honestly in my community college I don't remember or think my school has taught Laplace (maybe my AP calc) and idk about Fourier. Glad you did a comprehensive video on this cuz I just finished my Engineering Analysis course and when you have a professor/faculty that had never taught a class in their life. It was challenging to say the least.

Love You're work man So helpful as a student 😇

I had to give a talk on Fourier Analysis but it was some time ago now. PCs had been invented only a couple of years earlier! Consequently, only the "important" people at work had a PC and I had to do my (static) graphs on a mainframe. I wish I could have made animated charts like yours. To try and make things simple I did this: 1. Used f instead of ω. The relationship between t and 1/f become more obvious and the inverse transform formula is almost the same as the forwards transform. 2. Concentrate on even functions only. That way you can ignore the sine part and the transform works both ways. That is while a boxcar function transforms to a sinc function the inverse is also true so you learn two transforms in one. 3. Show how stretching a time function compresses a frequency function and vice versa. Now you learn whole families of functions in one go. 4. We were interested in sampled functions so I showed how a set of sample pulses in one domain looked just the same in the other albeit with the t versus 1/f thing going on. 5. Then I added Convolution. Multiplication in one domain is equivalent to convolution in the other. Now you can use that to combine waveforms and spectra in extra ways and see the answer without any more maths. At that point you can now imagine basic transforms, transforms of sampled functions and even "windowed" functions or ( same thing really) transforms of finite length signals. Anyway, great presentation - keep up the good work!

Pure magic. Brilliant animations 👏🏻👏🏻

I am grateful to you, this is really interesting!

This is so cool, Zach. I wish I had you as my professor when I was a student in engineering class. I had a lot of professors who can't teach at all in layman term.

@Amine-gz7gq

Жыл бұрын

because they don't really understand these tools

Hi from the Turkey. Thank you for this concise and intense video , for visual understanding of complex integral equations. I took nearly 13 pages of handwritten notes , just about this video. It contains the fundamental understanding ability for the control systems and signals-systems course. If you are outsider of the topic and you don't understand quite well , I suggest to watch it 3-4 times with extra sources. ( what I were did ) Waiting new videos about the engineering mathematics , and various engineering applications.

You really helped me with this man, thank you. Something clicked while watching the pi hit infinity... :)

Very nice intuitive explanation.

So clear! Thanks!

this has helped me so much! THank you!!!