Wuhu auf zum FFT nach Düsseldorf zum ON / LIVE Festival 2025 https://www.fft-duesseldorf.de/reihen-festivals/on-live-2025 #fft #onlive
SciTech Chronicles.. . . . .May 12th, 2025
#fossils #amber #temperate #rainforset #spatial #temporal #"fault slip" #Noto #Noachian #Hesperian #"shear waves" # "low-velocity layer" #FFT #ECG #"neural network" #"detection-on-a-chip" #Curiosity #spectrometer #sealing #consecutive
So, how has Fourier’s 200-year-old brainchild impacted YOUR work?
Drop a comment—let’s geek out. 
Sources linked in comments. Hit 
if this blew your mind!
#MathInTech #Innovation #Physics #Engineering #DataScience #FFT #TechHistory
(P.S. Lagrange and Laplace were wrong.
Artists in DSP releases Killa Gorilla free feedback-based sound design plugin https://rekkerd.org/artists-in-dsp-releases-killa-gorilla-free-feedback-based-sound-design-plugin/
The Fourier Transform is a mathematical operation that transforms a function of time (or space) into a function of frequency. It decomposes a complex signal into its constituent sinusoidal components, each with a specific frequency, amplitude, and phase. This is particularly useful in many fields, such as signal processing, physics, and engineering, because it allows for analysing the frequency characteristics of signals. The Fourier Transform provides a bridge between the time and frequency domains, enabling the analysis and manipulation of signals in more intuitive and computationally efficient ways. The result of applying a Fourier Transform is often represented as a spectrum, showing how much of each frequency is present in the original signal.
\[\Large\boxed{\boxed{\widehat{f}(\xi) = \int_{-\infty}^{\infty} f(x)\ e^{-i 2\pi \xi x}\,\mathrm dx, \quad \forall\xi \in \mathbb{R}.}}\]
Inverse Fourier Transform:
\[\Large\boxed{\boxed{ f(x) = \int_{-\infty}^{\infty} \widehat f(\xi)\ e^{i 2 \pi \xi x}\,\mathrm d\xi,\quad \forall x \in \mathbb R.}}\]
The equation allows us to listen to mp3s today. Digital Music Couldn’t Exist Without the Fourier Transform: http://bit.ly/22kbNfi
French mathematician Joseph Fourier was born OTD in 1768 https://cromwell-intl.com/travel/france/flaneur-10eme-arrondissement/?s=mb #FFT #travel #history
Did you know that #cats can almost instantly fluff up the hairs on their fur coats to make themselves look bigger when feeling threatened? This is called the fast furrier transform, otherwise known in #engineering circles as an #fft
@northernlights @SDF @kentpitman @mdhughes @Contrapunctus
Join as always:
telnet lambda.moo.mud.org 8888
co guest
@join screwtape
Currently me'n Slak hanging out in paradise sushi.
I ran out of characters, but I also want to talk a lot about my experiences implementing a pipelined Winograd #fft using rooms and $things in my own #lispmoo2 https://codeberg.org/tfw/lispmoo2 and my hopes, dreams, secret plans and resolutions for the new year. Dynamic spatial inheritance plus currying and script-descriptio
Lotta #FFT #dsp replies. Didn't even occur to me this q sounded like that. I don't think it is
Given measured event times
t0 = 00:00
t1 = 01:59
t2 = 02:57
t3 = 04:50
t4 = 08:24
...
a priori: period is roughly 1h and is changing length slowly
Eyeballing this data, I can see that t1->t2 must be one period of 58m. Then I can tell that t0->t1 is a 60 and a 59 and t2->t3 is 57+56. So I know the period is changing 1m/cycle.
Now do it with noisy data, but answer is approximate
