Holy crap i've never seen this kind of production quality nor this brilliant of a setup in an educational video! What a fantastic way to present things
Your channel is one of the best educational coding video channels I've ever seen on this platform! I hope you become viral and gain the fame you deserve. Your production quality is top notch and explanations are very clear and precise!
For people who got confused) 1. why just pi, not 2pi in the code?: the 2 is canceled with 2L. (L in the code is just half of the domain) 2. why not divide by pi in the python code(there is 1/pi in the matlab code, in contrast)?: In the python code, dx is 0.001, not 0.001*L. (here, L is the 'L' in the code, i.e. _half_ of the whole domain) Thus, if we add dx *= L to the python code before calculating the coefficients, then we can devide by pi when calculates the coefficients, like in the matlab code.
I love the channel. Thank you for the outstanding explanation. I believe a_k and b_k definitions need to have the inner product divide by pi to be consistent with the code. Also the factor 2pi need to replaced by just pi.
Awesome site! I am really surprised it was not recommended to me by TH-cam In fact, I only discovered it because it was retweeted by Jeff dean specifically the segment where you demonstrated the Laplace transform as a generalized Fourier Transform which was totally awesome!
where i can find information about this A(k) and B (k) syntax. and what is CC(k,:)?? please tell me site or book from where i can learn about this syntax
I'm dont understand why we use just pi in the inner product but not 2*pi as it is shown in the equations on the left side. Because if I write code from expressions, I do not have expected result. I guess the L should be 2*pi instead of just pi. In this case we obtain cos(pi*k) as in the general formula.
![Fourier Series [Python]](http://i.ytimg.com/vi/dZrShAGqT44/mqdefault.jpg)
![Fourier Series [Python]](/img/tr.png)
![กี่หมื่นฟ้า | Your Sky Series EP.1 [1/4]](http://i.ytimg.com/vi/vLGjxFL6U_I/mqdefault.jpg)
Holy crap i've never seen this kind of production quality nor this brilliant of a setup in an educational video! What a fantastic way to present things
Your channel is one of the best educational coding video channels I've ever seen on this platform! I hope you become viral and gain the fame you deserve. Your production quality is top notch and explanations are very clear and precise!
This video does so much heavy lifting of explanation but it's so CLEAR and concise, awesome!
this channel about to hit big, let us witness.
For people who got confused)
1. why just pi, not 2pi in the code?: the 2 is canceled with 2L. (L in the code is just half of the domain)
2. why not divide by pi in the python code(there is 1/pi in the matlab code, in contrast)?: In the python code, dx is 0.001, not 0.001*L. (here, L is the 'L' in the code, i.e. _half_ of the whole domain)
Thus, if we add dx *= L to the python code before calculating the coefficients, then we can devide by pi when calculates the coefficients, like in the matlab code.
Wow I have just found gem of a channel
I've just realized that Steve made everything nightmode, huge thanks~!
I love the channel. Thank you for the outstanding explanation. I believe a_k and b_k definitions need to have the inner product divide by pi to be consistent with the code. Also the factor 2pi need to replaced by just pi.
Clear explanation and nice visualization of the Fourier series reconstruction! Bravo 👏🏻
Great tutorials love your passion for the subject
Steve I LOVE your channel so so much!!
Just a little comment. Inside the loop the constant of normalization should be L, right? So we do not have trouble if we change interval.
This is one the coolest video I've ever watched! Very interesting sir!
Awesome site!
I am really surprised it was not recommended to me by TH-cam
In fact, I only discovered it because it was retweeted by Jeff dean specifically the segment where you demonstrated the Laplace transform as a generalized Fourier Transform which was totally awesome!
An outstanding lecture series.
Great video!! please can f(x) be non zero like maybe 100?
Is it possible to use other fourier series representations like the complex form or compact trigonometric form?
These videos help me a lot, thank you!
Are you writing in inversion? looks so cool
1./x gives Fourier Series a hard time to approximate fairly well. Needs a lot of data points.
Great content you have made sir
Amazing video, thank you very much!
where i can find information about this A(k) and B (k) syntax. and what is CC(k,:)?? please tell me site or book from where i can learn about this syntax
look at the video description.
This video series follows a book he co-wrote. The links are all there.
Thank you very much!!!
I'm dont understand why we use just pi in the inner product but not 2*pi as it is shown in the equations on the left side. Because if I write code from expressions, I do not have expected result. I guess the L should be 2*pi instead of just pi. In this case we obtain cos(pi*k) as in the general formula.
Thank you for sharing this information.
This saved my day!
In matlab code, A[K] and B[K] is divided by pi. However, it's not in Python code. But the result in Python code looks normal. Any body know?
You caught the good point. Please see my comment. I also commented the same explanation in the next lecture(python version).
This channel is awesome! tks o/
how do we make this triangular function to be continue like tri spacing tri spacing and so on
You are a god!
You said it's on github. Why not put the github link in the description?
any chance I can have the code to copy and paste? It's an emergency for a college assinment
So nice, thanks man!
great work
link for code?
This is really cool
why { dx = 2L/(N-1) } and not just simply { 2L/N } ?
this is very cool thanks!
How did he set Matlab to have it so good looking?
Thank you!!
Cool!
zero views and 7 likes. huh...