[ 3 / biz / cgl / ck / diy / fa / ic / jp / lit / sci / vr / vt ] [ index / top / reports ] [ become a patron ] [ status ]
2023-11: Warosu is now out of extended maintenance.

/sci/ - Science & Math


View post   

File: 16 KB, 633x758, 318271da980706f7a18a811c3456a77d (2).png [View same] [iqdb] [saucenao] [google]
10483431 No.10483431 [Reply] [Original]

FUCK fourier transforms

>> No.10483434

>>10483431
It's just a change of basis

>> No.10483456

i think their pretty good

>> No.10483503

>>10483431
What's giving you trouble there, sport?

>> No.10483506

>>10483431
You're right, Laplace transforms are so much sexier

>> No.10484941
File: 740 KB, 692x1024, ezgif-2-5580603c26bc.png [View same] [iqdb] [saucenao] [google]
10484941

>>10483431
Do FFT instead.

>> No.10485659
File: 114 KB, 1024x712, B89103E32687426E9F18C96738696971.jpg [View same] [iqdb] [saucenao] [google]
10485659

Just seet the e^-i2πtheta as a phasor i.e just see it as a sine function. Basically you are just dividing by a wave and asking how much of this wave is part of the other wave.

>> No.10485661

>>10485659
>>10483506

lmao look at these retards , spotted the engineers

>> No.10485663
File: 657 KB, 500x375, Fourier.gif [View same] [iqdb] [saucenao] [google]
10485663

>>10483431

>> No.10485684

>>10485661
desu a laplace transform fourier transform is a mathematical subset of laplace transforms with the real component set to zero over symmetric bounds. Both are useful in their areas, I had Fourier stuff show up more in more elementary physics because it maps frequency and amplitude, but a laplace transform is still really handy because it maps rate of change dependency into direct functional dependency

>> No.10485688

>>10485684

> fourier transforms are a subset of laplace transforms

?????

>> No.10485709

>>10485688
Yes

>> No.10485711

>>10485709

no. its wrong.

>> No.10485713

>>10485661
>t. i watched a 3blue1brown video

>> No.10485717

>>10485711
The Laplace transform maps a functionf(t)to a functionF(s) of the complex variables, wheres=σ+jω


If we set the real part of the complex variablesto zero,σ=0 the result is the Fourier transformF(jω) which is essentially thefrequency domain representationoff(t) (note that this is true only if for that value ofσσthe formula to obtain the Laplace transform off(t) exists, i.e., it does not go to infinity)

>> No.10485719

I understand how it works but I can't get the right answers !

>> No.10485724

>>10485719
>doubt

>> No.10485776

>>10483431
I wish.

>> No.10485781
File: 11 KB, 224x224, download.jpg [View same] [iqdb] [saucenao] [google]
10485781

>tfw analyst
>tfw all this shit is trivial
lmao engcucks on suicide watch

>> No.10486517

>>10483434

Isn't everything just a change of basis?

>> No.10486581

>>10483431
They're just a change of representation.
Their most common applications are from a basis in direct space (x, y, z) to a basis in reciprocal space (px, py, pz) or from a time-domain analysis into a frequency-domain analysis.

>> No.10486609

>>10485711
based retard

>> No.10486627

>>10483431
Easy. They wrap around cylindrical objects just fine.

>> No.10487131
File: 240 KB, 1600x1200, fast_and_fourier.jpg [View same] [iqdb] [saucenao] [google]
10487131

>>10483431
>>10484941
>tfw engineering undergrad taking signals with no clue what any of the shit actually means
>ace the course by memorizing how to work problems and use tables like a well-trained monkey
>finally get in a few analysis courses in grad school and realize what the hell was actually going on
they need to change this shit somehow

>> No.10487132

>>10487131
also, see this
https://youtu.be/spUNpyF58BY
you can at least get a primitive understand

>> No.10487255

>>10483506
No man, Z transforms are where it's at. Having to use an FFT to actually filter a signal is pleb tier when you can just pass each data through a live DSP algorithm.

>> No.10487273

>>10483431
They aren't even hard. Wavelet and Hilbert are much worse

>> No.10487280

>>10487131
Signals made perfect sense to me as an undergrad, dunno what was wrong with your class dude

>> No.10487283

>>10485688
Fourier is a subset of Laplace bro

https://www.youtube.com/watch?v=S7zGQWX3FZQ

>> No.10487430

>>10487132
thank you

>> No.10487502

>>10483431
Why?

>> No.10487592

>>10487280
yeah it all made perfect sense to me in undergrad too.

>> No.10487600

>>10487283
Based Eugene coming in with the visualization
https://www.youtube.com/watch?v=6MXMDrs6ZmA

>> No.10487783

I'm sitting in my analysis class thinking that I am going to learn about integrals or some shit, but the professor keeps talking about this weird flower transformer.

>> No.10487793
File: 319 KB, 256x256, Fourier_series_square_wave_circles_animation.gif [View same] [iqdb] [saucenao] [google]
10487793

>>10483431

>> No.10487803
File: 171 KB, 374x347, 1455628653724.png [View same] [iqdb] [saucenao] [google]
10487803

>>10483431
There a problem, OP?

>> No.10487875

>>10487131
>I didn't understand it
>therefore it's for brainlets
Sounds to me like YOU are actually the brainlet, being unable to comprehend the logic behind the concepts at the time. One could argue that engineers are truly more intelligent than majors of pure sciences because not only are they able to reduce problems in complexity to the point where a viable real-world solution can be found, but they are also intelligent enough to understand the logical basis of the simplified problems presented to them without explicit explanation, whereas Maths majors have to be spoonfed all of the concepts and generalizations.

>> No.10487880

it's hilarious that engineers find fourier and laplace transforms difficult.

engineers truly are retarded

>> No.10489833
File: 174 KB, 367x385, A-Laue-diffraction-image-from-a-protein-crystal-collected-on-the-MAR345-image-plate.png [View same] [iqdb] [saucenao] [google]
10489833

I FUCKING HATE FOURIER TRANSFORMS IN STRUCTURAL BIOLOGY. WHY DID I GO INTO THIS FIELD IF I'M SUCH A BRAINLET AHHHHHHHHH

>> No.10489843

>>10489833
CT scans also use spacial fourier transforms, it's neat shit.

>> No.10489845

>>10487880
I find pretty much everything difficult