after i watched this video, my insight is very open because the video is very good to give information Professor Brad Osgood for the Electrical Engineering course, The Fourier Transforms and its Applications
if f(t) is periodic we want to write with some confidence that f(t) is equal to its fourier series, from k -inf to inf, f hat ^ of k, e to the 2 pi i, kt;
but he wrote it wrong, f^(t) and said it right, f^(k) (someone catches it dont worry)
fourier coefficient definition it is the integral from zero to 1 of e -[-2pi
i kt] f(t)dt,
any small lack of smoothness in the function forces an infinite sum
@gomunkul Are you telling me you couldn't find them? I did a Google search for "ee 261 lecture notes by prof. brad osgood" and clicked on the first link. On the left I clicked on course reader and then I did a right click save as on "course reader" and I have the whole thing. No password was ever requested. You think I would be so "smug" without checking to make sure it worked first? Maybe call Best Buy and get The Geek Squad over?
Youtube doesn't like it when you post links apparently. In fact it wont even let you write 3 w's in a row. so add three w's to the lmgtfy link and you will have the notes.
What does it say about the person who is watching a lecture on the Fourier transform but can't find the notes? I never miss an opportunity to do this...
The orthogonality should be explained even in the first lecture. We can draw only three dimensions on paper to describe the space, but the reality is multi dimensional.
For example we can imagine that in old style programming we have used three dimensions: Integer character Boolean. The orthogonal functions have no common information. We assume that integers cannot be described with characters. Then the object oriented programming came ( car->speed, car->color)
Then if the space is class we add one more dimension with every new method in the class.
The functions sin(omega*t), sin(omega*t*2), sin(omega*t*4), sin(omega*t*8) are orthogonal. We can describe as many dimensions as we want, if we want exact and finer description we use more dimensions.
For example, in case of some signals like audio and mp3. Mp3 converts the signal in sinuous dimensions. If we want better quality mp3, we use more dimension and the bit rate goes high.
Then if the space is class we add one more dimension with every new method in the class.
The functions sin(omega*t), sin(omega*t*2), sin(omega*t*4), sin(omega*t*8) are orthogonal. We can describe as many dimensions as we want, if we want exact and finer description we use more dimensions.
For example, in case of some signals like audio and mp3. Mp3 converts the signal in sinuous dimensions. If we want better quality mp3, we use more dimension and the bit rate goes high.
Best thing about Prof. Osgood: He knows the difference between making a thing work on paper and really being able to use it! Way too many teachers don't (or can't) do that.
@666modac1 Exactly ! Foot notes are very important to fix the whole underlying thought behind all the mathematical jumbling.It makes more easy to follow and understand.
@LifeIzBeautiful10 if you look in the video description, there is a download button. Furthermore, Stanford may have a section its webstie from which you can download everything. Also, even if there was no download link, youcould go to keepvid dot com and type in the url of the video and download it. Hope this helps. Cheers.
I really liked his comments about reasoning by analogy from 23:43-25:23. I'll probably never understand this series of lectures, but I understood that. Cool. Way cool. Infinitely cool. So cool.
What a genius analysis that each exponential is a basis vector. Should have realized this the first time he writes down the fourier series in lecture 2.
I hated one thing about all my math teachers from 8th grade on. Show us how we can use the damn thing in real life!!! I find it soooooooo satisfying when teachers show us...or atleast tell us when and how we will use this in real life. What made fourier come up with this? I mean people have reasons for thinking about stuff and is usually to slove something. As much as I like this teacher I wish he told us why we need this, in what concrete way would we apply this. So far he hasn't even hinted.
At the risk of getting lots of negative feedback I don't think this guy is as good as my lecturers at Cambridge University in the UK. I mean, he writes too much, like he is taking notes on his own lecture! And, he is really dismissive of students' questions.
that's his style. It takes some time to get used to it. He just writes one sentence per board, looks like waste of time. and he writes everything down in complete sentences...it can be a good or bad thing.
Excellent job once again! Unfortunately, my book uses ZERO complex exponentials in using Fourier series.. :^( This makes soo much more sence than still using all of these blasted sin and cos!! :)
I am very happy to see the vidoe Lecture 4 | The Fourier Transforms and its Applications from you, hopefully the others also are happy for You
NganaJHone 2 weeks ago
Steady I Really Like This Video Lecture 4 | The Fourier Transforms and its Applications
Ondelendo 2 weeks ago
Good, I like that you share this video, I wish success always Lecture 4 | The Fourier Transforms and its Applications
bebeheuy 2 weeks ago
Nice Video That You Share , So Very Nice Thanks You Lecture 4 | The Fourier Transforms and its Applications
willamricard 2 weeks ago
Comment removed
willamricard 2 weeks ago
I Really Like The Video From Your Professor Brad Osgood for the Electrical Engineering course, The Fourier Transforms and its Applications
imegatrone 2 weeks ago
Your Video Professor Osgood wraps up the theoretical aspects of the Fourier Series, an application to heat flow. Is Very Useful Sharing
bundawartini 2 weeks ago
after i watched this video, my insight is very open because the video is very good to give information Professor Brad Osgood for the Electrical Engineering course, The Fourier Transforms and its Applications
anakmudajaman 2 weeks ago
Stanford supplies nice chalk.
Extractor502 1 month ago
fascinating lecture!
grunder20 2 months ago
Bill Gate's twin brother :P
Alphatauri12 4 months ago
if f(t) is periodic we want to write with some confidence that f(t) is equal to its fourier series, from k -inf to inf, f hat ^ of k, e to the 2 pi i, kt;
but he wrote it wrong, f^(t) and said it right, f^(k) (someone catches it dont worry)
fourier coefficient definition it is the integral from zero to 1 of e -[-2pi
i kt] f(t)dt,
any small lack of smoothness in the function forces an infinite sum
iBradleyAllen 8 months ago
i wanna shoot my teacher ..
imatunisian 9 months ago
hehe He talks like Jeff Goldblum
sgate 10 months ago
@gomunkul Are you telling me you couldn't find them? I did a Google search for "ee 261 lecture notes by prof. brad osgood" and clicked on the first link. On the left I clicked on course reader and then I did a right click save as on "course reader" and I have the whole thing. No password was ever requested. You think I would be so "smug" without checking to make sure it worked first? Maybe call Best Buy and get The Geek Squad over?
lusher00 11 months ago
@lusher00 wow so rude!
shrutikapoor08 11 months ago
@shrutikapoor08 you're a towel
thecoolster28 6 months ago
@thecoolster28 ur mom is a towel. and i use her every night
shrutikapoor08 6 months ago
@shrutikapoor08 you're mother is your father
thecoolster28 6 months ago
Youtube doesn't like it when you post links apparently. In fact it wont even let you write 3 w's in a row. so add three w's to the lmgtfy link and you will have the notes.
lusher00 11 months ago
What does it say about the person who is watching a lecture on the Fourier transform but can't find the notes? I never miss an opportunity to do this...
lmgtfy.com/?q=EE+261+Lecture+Notes+by+Prof.+Brad+Osgood
lusher00 11 months ago
@lusher00 the lecture notes on the course` website are protected by a password, you smug bastard.
gomunkul 11 months ago
Same questions as below, is there anyway for non-stanford people to get the notes?
stxma10 11 months ago
Professor Osgood says "It is in the notes" where can I get this notes?
mikemarachov 1 year ago
The orthogonality should be explained even in the first lecture. We can draw only three dimensions on paper to describe the space, but the reality is multi dimensional.
For example we can imagine that in old style programming we have used three dimensions: Integer character Boolean. The orthogonal functions have no common information. We assume that integers cannot be described with characters. Then the object oriented programming came ( car->speed, car->color)
ilianko2 1 year ago
Then if the space is class we add one more dimension with every new method in the class.
The functions sin(omega*t), sin(omega*t*2), sin(omega*t*4), sin(omega*t*8) are orthogonal. We can describe as many dimensions as we want, if we want exact and finer description we use more dimensions.
For example, in case of some signals like audio and mp3. Mp3 converts the signal in sinuous dimensions. If we want better quality mp3, we use more dimension and the bit rate goes high.
ilianko2 1 year ago
This has been flagged as spam show
Then if the space is class we add one more dimension with every new method in the class.
The functions sin(omega*t), sin(omega*t*2), sin(omega*t*4), sin(omega*t*8) are orthogonal. We can describe as many dimensions as we want, if we want exact and finer description we use more dimensions.
For example, in case of some signals like audio and mp3. Mp3 converts the signal in sinuous dimensions. If we want better quality mp3, we use more dimension and the bit rate goes high.
ilianko2 1 year ago
This has been flagged as spam show
In the mp3 we record the value of each dimension, the coefficient in front of the sinuous function.
ilianko2 1 year ago
(3) In the mp3 we record the value of each dimension, the coefficient in front of the sinuous function.
ilianko2 1 year ago
Comment removed
ilianko2 1 year ago
Comment removed
ilianko2 1 year ago
Best thing about Prof. Osgood: He knows the difference between making a thing work on paper and really being able to use it! Way too many teachers don't (or can't) do that.
666modac1 1 year ago
@666modac1 Exactly ! Foot notes are very important to fix the whole underlying thought behind all the mathematical jumbling.It makes more easy to follow and understand.
acancalan 5 months ago
Osgood is very good, the fourier series which seems very difficult to manipulate and understand becomes a manageable object with his notes.
cyberkotatsu 1 year ago
Can you please tell me how I can collect the course notes? I am not a Stanford student.
Thanks for your help.
LifeIzBeautiful10 1 year ago
@LifeIzBeautiful10 if you look in the video description, there is a download button. Furthermore, Stanford may have a section its webstie from which you can download everything. Also, even if there was no download link, youcould go to keepvid dot com and type in the url of the video and download it. Hope this helps. Cheers.
XboxTheBeatboxer 1 year ago
I really liked his comments about reasoning by analogy from 23:43-25:23. I'll probably never understand this series of lectures, but I understood that. Cool. Way cool. Infinitely cool. So cool.
imfrancisd 1 year ago
What a genius analysis that each exponential is a basis vector. Should have realized this the first time he writes down the fourier series in lecture 2.
alquiora 1 year ago
absolutely passionating professor!
samlyonfr 1 year ago
Does anyone know what book is used for this class?
joeybenn 1 year ago
ha ha...he mimics well...
knighttango 1 year ago
I hated one thing about all my math teachers from 8th grade on. Show us how we can use the damn thing in real life!!! I find it soooooooo satisfying when teachers show us...or atleast tell us when and how we will use this in real life. What made fourier come up with this? I mean people have reasons for thinking about stuff and is usually to slove something. As much as I like this teacher I wish he told us why we need this, in what concrete way would we apply this. So far he hasn't even hinted.
kevinatucla 1 year ago
@kevinatucla fourier introduced this formula to solve heat equation and it is used to break complex periodic functons into sums of sines and cosines
yousuftafhim 1 year ago
Now thats how you explain something to someone .
By knowing
system0system0 2 years ago
At the risk of getting lots of negative feedback I don't think this guy is as good as my lecturers at Cambridge University in the UK. I mean, he writes too much, like he is taking notes on his own lecture! And, he is really dismissive of students' questions.
joanfi2 2 years ago
I completely agree with you
LabanHicham 2 years ago
that's his style. It takes some time to get used to it. He just writes one sentence per board, looks like waste of time. and he writes everything down in complete sentences...it can be a good or bad thing.
kevinatucla 1 year ago 3
Maybe so...
joanfi2 1 year ago
If Osgood and Susskind are examples of teaching at Stanford then those students are really getting their money's worth.
luzzie9 2 years ago 3
This guy knows his shit. Great teacher and lecturer. Thanks for sharing.
paulgnr 2 years ago
Comment removed
rayman00800 2 years ago
I WISH, I really WISH my teacher was like this guy. excellent, expansive, and complete within the context of hte lectures.
mrwannaknowmore 2 years ago 2
Brilliant teacher.
tengyang2001 2 years ago 13
this is the first time for me to know Fourier series in the projection point view, I like it!
Very fasinating~
xinliw 2 years ago 13
Excellent job once again! Unfortunately, my book uses ZERO complex exponentials in using Fourier series.. :^( This makes soo much more sence than still using all of these blasted sin and cos!! :)
411sponge 3 years ago
we can't visualize the orthogonality of exps...
grrrrrrrrrrrrrr
u break my heart
gspot911 3 years ago
brilliant
mremile72 3 years ago