正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

Here's one but with the Fourier transform settings a bit wonky

Sauers

12,554 subscribers

128,866 次观看 • 2 年前 •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

12 条评论

Sauers 的头像

Sauers2 年前

Uhhh so I eigendecomposed the connectivity of the human genome and it looks like this. What does this mean

Sauers 的头像

Sauers2 年前

There are many of instances of this pattern across different regions of the genome; it has these organized harmonic bursts. I don't know what they are but I'm currently converting the spectrogram into audio (will post video with sound when done)

Kashatorian 的头像

Kashatorian2 年前

Listening to this makes my brain tingle

Sauers 的头像

Sauers2 年前

Need to sample it

metasyntactic 的头像

metasyntactic2 年前

cool idea! made me think of bird chirpings at the beginning

Sauers 的头像

Sauers2 年前

Me too!

moderate rock 的头像

moderate rock2 年前

do a walsh-hadamard transform (QFT) on the data and see if it’s actually a spatial signal

Sauers 的头像

Sauers2 年前

I'll look into that, thanks for the idea

luke y. 的头像

luke y.2 年前

kind of quiet until the firework sound at 42 seconds in

Sauers 的头像

Sauers2 年前

Lol I don't even see what is causing that on the image. Maybe it's an artifact

ignoramus 的头像

ignoramus2 年前

What the hell happened at 00:42?

Sauers 的头像

Sauers2 年前

I have the same question. It might be an artifact or maybe an outlier value idk

相关视频

This video presents a recent breakthrough called the Sparse Fourier Transform (SFT). This algorithm yields an exponential speed-up over the celebrated Fast Fourier Transform (FFT) when asked to extract a small number of dominant Fourier coefficients.

This video presents a recent breakthrough called the Sparse Fourier Transform (SFT). This algorithm yields an exponential speed-up over the celebrated Fast Fourier Transform (FFT) when asked to extract a small number of dominant Fourier coefficients.

Mathelirium

50,777 次观看 • 7 个月前

Visualization of the day: 2D Discrete Fourier Transform

Visualization of the day: 2D Discrete Fourier Transform

Kosta Derpanis

11,593 次观看 • 22 天前

Fourier transform of a mechanical music box shows up the imprinted pattern 🎶

Fourier transform of a mechanical music box shows up the imprinted pattern 🎶

Jithin B.P., Ph.D.

83,121 次观看 • 8 个月前

Uhhhhhhh Steddie head over heels anamatic 👍 She’s a bit wonky she’s a bit off but it’s ok 🫶🫶🫶 #steddie #steddiefanart #steveharrington #EDDIEMUNSON

Uhhhhhhh Steddie head over heels anamatic 👍 She’s a bit wonky she’s a bit off but it’s ok 🫶🫶🫶 #steddie #steddiefanart #steveharrington #EDDIEMUNSON

🍉🇵🇸SentientTrashcan_ ✨Commissions open 🟢✨

55,998 次观看 • 3 年前

The Fast Fourier Transform is the most important numerical algorithm of our lifetime - Gilbert Strang, MIT

The Fast Fourier Transform is the most important numerical algorithm of our lifetime - Gilbert Strang, MIT

Mathelirium

50,548 次观看 • 7 个月前

Here's my settings with the brand new SCUF Nemesis Pro 8k controller! Grab one here: Code TeeP Download the companion app here:

TeeP

28,980 次观看 • 8 天前

Visualization of the Fourier transform. Showing how a function is resolved into its frequency components through complex phase accumulation, spectral peaks and inverse reconstruction.

Visualization of the Fourier transform. Showing how a function is resolved into its frequency components through complex phase accumulation, spectral peaks and inverse reconstruction.

Philosophy Of Physics

15,142 次观看 • 2 个月前

A musical chord reaches us as one sound, yet contains several frequencies. The Fourier transform reveals them. It takes a signal described in time and expresses it in terms of frequency. The same sound, viewed through a different mathematical lens.

A musical chord reaches us as one sound, yet contains several frequencies. The Fourier transform reveals them. It takes a signal described in time and expresses it in terms of frequency. The same sound, viewed through a different mathematical lens.

Math Files

14,062 次观看 • 15 天前

Spherical Harmonics 🤝 Fourier Transform I’m modeling the cell surface as a time-varying field u(θ,φ). Budding is energy shifting into higher angular frequencies. Decompose u into spherical harmonics (the Fourier basis on a sphere), evolve the coefficients aₗₘ(t) where growth/smoothing is clean, then inverse-transform back into a breathing, budding 3D surface. #SphericalHarmonics #FourierTransform #HarmonicAnalysis #SpectralMethods #SignalProcessing #AppliedMath #MathAnimation #ScientificVisualization #Biophysics

Spherical Harmonics 🤝 Fourier Transform I’m modeling the cell surface as a time-varying field u(θ,φ). Budding is energy shifting into higher angular frequencies. Decompose u into spherical harmonics (the Fourier basis on a sphere), evolve the coefficients aₗₘ(t) where growth/smoothing is clean, then inverse-transform back into a breathing, budding 3D surface. #SphericalHarmonics #FourierTransform #HarmonicAnalysis #SpectralMethods #SignalProcessing #AppliedMath #MathAnimation #ScientificVisualization #Biophysics

Mathelirium

25,914 次观看 • 9 个月前

A lens can perform the Fourier transform! 🔍 This is the 4F system: the first lens converts an image into its frequency components, and the second lens reconstructs it. By adding an aperture at the Fourier plane, we can filter out high frequencies. #Optics #Physics #b3d

A lens can perform the Fourier transform! 🔍 This is the 4F system: the first lens converts an image into its frequency components, and the second lens reconstructs it. By adding an aperture at the Fourier plane, we can filter out high frequencies. #Optics #Physics #b3d

Hans Chiu

220,632 次观看 • 1 年前

Sometimes the physics in Battlefield are a bit wonky. It isn't a bug, it is a feature. We are so back.

Sometimes the physics in Battlefield are a bit wonky. It isn't a bug, it is a feature. We are so back.

Xfactor Gaming - Battlefield 6 & Arc Raiders

376,846 次观看 • 1 年前

Optimus is your personal R2D2 / C3PO, but better It will also transform physical labor in industrial settings

Optimus is your personal R2D2 / C3PO, but better It will also transform physical labor in industrial settings

Tesla

101,132,370 次观看 • 2 年前

Astrum (Transform) Here's a VDO animation showing how Astrum transform into flight mode. Blender render with EVEE #b3d #blender #オリメカ

Astrum (Transform) Here's a VDO animation showing how Astrum transform into flight mode. Blender render with EVEE #b3d #blender #オリメカ

KADEJ

93,807 次观看 • 8 个月前

Admin intents now work with Settings Open the Settings a merchant needs right from your app, with one API call Demo with Jonathan Zazove

Admin intents now work with Settings Open the Settings a merchant needs right from your app, with one API call Demo with Jonathan Zazove

Shopify Developers

11,474 次观看 • 6 个月前

Here's my current Gameweek 8 Wildcard draft with a little bit of spice right at the end.... Which one do you like?

Here's my current Gameweek 8 Wildcard draft with a little bit of spice right at the end.... Which one do you like?

Lateriser12

19,152 次观看 • 1 年前

The Fourier transform runs inside every MRI machine, every audio compressor, every signal processor on earth. JPMorgan pays $350K to engineers who can derive it from scratch. There is one professor alive who explains it the way nobody else can. His name is Gilbert Strang. MIT. The most brilliant mathematical mind of his generation. His textbook sits in over 10 million homes. No other person on earth holds this combination of depth and clarity in one head. He opens with one confession. The Fourier transform is unreasonably effective. It solves problems it was never designed for. The goal is not to compute it. The goal is to understand why it works at all. Then the core idea. A periodic signal breaks into pure sine waves. Each with a frequency, amplitude, and phase. The transform finds all three simultaneously. A complicated signal in time becomes a simple picture in frequency. Then 1807. Fourier invented the transform not for sound but for heat. How does warmth spread through a metal rod? In time the equation is a partial differential equation - hard. In frequency space it becomes ordinary - easy. Transform in, solve it, transform back. Then convolution. Convolution in time equals multiplication in frequency. Filtering a signal, removing noise, compressing audio - all multiplication in frequency space. Without the transform: thousands of computations. With it: a few multiplications. Then the delta function. Zero everywhere except one point where it is infinite. Integral equals one. Every mathematician in 1900 said it was not a function. Dirac used it anyway. It took 40 years to justify what engineers had been doing the whole time. Watch the moment Strang shows that the Fourier transform of a delta function is a constant - every frequency in equal measure. The more concentrated in time, the more spread in frequency. This is the uncertainty principle. Not quantum physics. A theorem about any signal at all. A signal processing engineer I know rewatched this before their first project at Apple. Said it was the first time the Fourier transform felt like a change of coordinates rather than a formula to memorize. Free on YouTube, MIT OpenCourseWare. bookmark this and watch later - after this lecture every sound, every image, and every signal will feel like a sum of sine waves waiting to be separated

The Fourier transform runs inside every MRI machine, every audio compressor, every signal processor on earth. JPMorgan pays $350K to engineers who can derive it from scratch. There is one professor alive who explains it the way nobody else can. His name is Gilbert Strang. MIT. The most brilliant mathematical mind of his generation. His textbook sits in over 10 million homes. No other person on earth holds this combination of depth and clarity in one head. He opens with one confession. The Fourier transform is unreasonably effective. It solves problems it was never designed for. The goal is not to compute it. The goal is to understand why it works at all. Then the core idea. A periodic signal breaks into pure sine waves. Each with a frequency, amplitude, and phase. The transform finds all three simultaneously. A complicated signal in time becomes a simple picture in frequency. Then 1807. Fourier invented the transform not for sound but for heat. How does warmth spread through a metal rod? In time the equation is a partial differential equation - hard. In frequency space it becomes ordinary - easy. Transform in, solve it, transform back. Then convolution. Convolution in time equals multiplication in frequency. Filtering a signal, removing noise, compressing audio - all multiplication in frequency space. Without the transform: thousands of computations. With it: a few multiplications. Then the delta function. Zero everywhere except one point where it is infinite. Integral equals one. Every mathematician in 1900 said it was not a function. Dirac used it anyway. It took 40 years to justify what engineers had been doing the whole time. Watch the moment Strang shows that the Fourier transform of a delta function is a constant - every frequency in equal measure. The more concentrated in time, the more spread in frequency. This is the uncertainty principle. Not quantum physics. A theorem about any signal at all. A signal processing engineer I know rewatched this before their first project at Apple. Said it was the first time the Fourier transform felt like a change of coordinates rather than a formula to memorize. Free on YouTube, MIT OpenCourseWare. bookmark this and watch later - after this lecture every sound, every image, and every signal will feel like a sum of sine waves waiting to be separated

Zyphor

123,759 次观看 • 1 个月前

A bit late but here's my work on episode 7 #TheAmazingDigitalCircus

A bit late but here's my work on episode 7 #TheAmazingDigitalCircus

Genus

77,102 次观看 • 10 个月前

Pastor Donna Pisani, awkwardly wielding a sword, should not be receiving claps for this wonky bit of teaching.

Pastor Donna Pisani, awkwardly wielding a sword, should not be receiving claps for this wonky bit of teaching.

Protestia

28,441 次观看 • 1 个月前