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##### Support - (fb2k) / Re: foobar2000 v1.4b19 - visualizations on toolbar don't have native borders anymore

Last post by**j7n**-

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I cannot claim that the results are impressive -- but they are darned good. The decoder really does well considering that some people say that it is impossible.

The only frustrating thing is that the site that I use limits the mp3 to 200kbits/sec and any mp3 causes a significant loss of the subtle detail.

The full feature and quality decoder will be available sometime in the future. Right now, the currently available 'free' version still does okay for casual use, but the very enhanced and completed version is very significantly better. Hopefully, there will be something released as a plugin.

DEMOS:

https://spaces.hightail.com/space/z3H68lAgmJ

John

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I still think the confusion is down to the rather inappropriate usage of the term "sound". It doesn't determine what realm we're discussing in here right now.

From the replies to this thread, I think the real problem is people not understanding what dimensions are.

Things like waveforms and time domain signals are one dimensional. Signal transformation through things like FFT is also one dimensional but returns a two-dimensional value.

I'm surprised how many people don't realize this, but the FFT returns the same number of dimensions as you put in, so a 1D function has a 1D FFT. It's a linear transform, so you get the same number of points and dimensions between domains. I suspect that the misconception you have hear (that frequency is somehow of higher dimensionality than time in spite of them having inverse units) is related to the general confusion most people have on this topic.

Sound propagation through air is a multivariate problem, where sound is propagated in three dimensions, changes through time, and returns a sound pressure for each point at any given point, that's a four-dimensional function.

People have such a limited ability to grasp what a 3D sound field is that most do not realize they even exist. The perception of sound is basically 1D with a bit of stereo, and this is the thing people are talking about. And they do mean to say 1D, they're just not sure what the words mean and are expressing themselves incorrectly.

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Things like waveforms and time domain signals are one dimensional. Signal transformation through things like FFT is also one dimensional but returns a two-dimensional value.

Sound propagation through air is a multivariate problem, where sound is propagated in three dimensions, changes through time, and returns a sound pressure for each point at any given point, that's a four-dimensional function.

Similar things happen when looking at RF signal propagation through space.

So, perhaps it's a good idea to first define the kinda frame we're discussing here?

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The output of a line out jack is literally a 1D linear array of speaker displacements. If you could not represent sound as a linear sequence of driver positions, speakers would not work.Conversely, what is the motion of a diaphragm in a microphone that generates a waveform?

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