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> FFT Daft Punk Giorgio by Moroder

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Sockpuppet
#1 Yesterday 07:48:05

FFT Daft Punk Giorgio by Moroder

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SamplesBoi
#2 Yesterday 08:10:46

Re: FFT Daft Punk Giorgio by Moroder

Can you prove that was a fast transform and not a slow one?  Why bother with fast anymore with so much computing power anyway?  Fast was for the 80's and 16-bit world.  Slow for the win these days.  Deep thoughts.

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Sockpuppet
#3 Yesterday 08:15:36

Re: FFT Daft Punk Giorgio by Moroder

SamplesBoi wrote:

Can you prove that was a fast transform and not a slow one?  Why bother with fast anymore with so much computing power anyway?  Fast was for the 80's and 16-bit world.  Slow for the win these days.  Deep thoughts.

The app says FFT. The app would never lie.

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SamplesBoi
#4 Yesterday 08:16:35

Re: FFT Daft Punk Giorgio by Moroder

Sockpuppet wrote:

The app says FFT. The app would never lie.

Best to reverse compile it and study its algorithms and verify.  Trust but verify, the man said.

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Sockpuppet
#5 Yesterday 08:26:14

Re: FFT Daft Punk Giorgio by Moroder

SamplesBoi wrote:

Best to reverse compile it and study its algorithms and verify.  Trust but verify, the man said.

I actually don’t know shyt about it.

It looks pretty.

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Assclown Mini Tacos
#6 Yesterday 17:02:24

Re: FFT Daft Punk Giorgio by Moroder

SamplesBoi wrote:

Can you prove that was a fast transform and not a slow one?  Why bother with fast anymore with so much computing power anyway?  Fast was for the 80's and 16-bit world.  Slow for the win these days.  Deep thoughts.

If you are doing visualization then there is no real downside to using an FFT - sure, you need to use a sample blocksize that's a power of 2, but for a real time spectrum display the blocksize is pretty much irrelevant anyway. I know I would use an FFT - not only is it faster (O(n log n) rather than O(n^2)), but it's really easy to implement in-place for simpler memory management.

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Sockpuppet
#7 Yesterday 20:27:05

Re: FFT Daft Punk Giorgio by Moroder

Assclown Mini Tacos wrote:

If you are doing visualization then there is no real downside to using an FFT - sure, you need to use a sample blocksize that's a power of 2, but for a real time spectrum display the blocksize is pretty much irrelevant anyway. I know I would use an FFT - not only is it faster (O(n log n) rather than O(n^2)), but it's really easy to implement in-place for simpler memory management.

Trevs ruining my pretty music thread.

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