File: Fourier_series.swf-(820 KB, 600x300, Loop)
[_] captivating Anonymous 06/11/20(Thu)08:43:16 No.3430871
interesting
>> [_] Anonymous 06/11/20(Thu)20:21:32 No.3430904
I wish I was smart enough to understand the math behind this but holy shit calculus so very dry
and I'm so very dumb
>> [_] Anonymous 06/11/20(Thu)20:39:00 No.3430907
>>3430904
Electrical engineering anon here. Fourier transforms and similar transforms are our bread and
butter, especially if you do digital signal processing. However, even I don't know as much about
them as I'd like. To really understand them, you need to study analysis from a pure math
perspective. It's really cool stuff and not too dry once you start imagining and working with the
concepts.
>> [_] Anonymous 06/11/20(Thu)21:18:02 No.3430910
>>3430907
They introduced us to transforms in the last class I took but I bombed calc so very little of it
made any sense to me. I think I get the absolute basics of it but if you asked me to explain it
there's fuck all I could put in to words.
>> [_] Anonymous 06/11/20(Thu)22:07:36 No.3430914
>>3430904
tl;dr version - you can represent any signal as an infinite sum of perfect sine waves (the flash
shows how, for example, as you add more and more sine waves of a certain form, you can get closer
and closer to a square wave).
A fourier transform works on this principle to decompose an arbitrary signal into a spectrum of
frequencies and amplitudes (for example, if you do a transform on the noise in a current measured
by a probe in a plasma, you'll see peaks at the frequencies of different plasma waves, which you
can use to determine physical properties).
