I'm honestly a bit surprised their comment doesn't contain the user's affiliate links. "Over-enthusiastic" users used to spam theirs everywhere.
Transcoding to a (for them) transparent lossy result is perfectly fine if all you do is listen. I couldn't care less about "audio qualities" that I cannot hear.
I should have been more clear: The negative effects of quantisation. Obviously sampling into discrete values is shown but not the negative consequences that can have.
A DAC interpreting the blue trace will output something extremely close to the red one. There might be a slight bit of error in it due to the quantisation before but the graph does not show that and it probably couldn't since it'd be so tiny. A good way to show quantisation noise would be a histogram with a signal in the middle and some quantisation noise around it.
The DAC would not output the jaggy line. It couldn't, that's not a valid analog signal. Painting the steps between the points can be done if your audience knows what that means but can be extremely misleading if it doesn't. Those lines between the points with 90 degree angles don't exist in the real world, they're just interpolated between the points in the visualisation.
A much better way to represent digital samples in such a chart is the way it's done in the wikipedia article on the topic: https://en.wikipedia.org/wiki/Sampling_(signal_processing). They're just discrete points. If you did the same interpolation between the points as a DAC would do (which is not nearest-neighbour interpolation), you'd get the analog trace shown.
I missed that you said in private tabs. I can reproduce it there but BW also says that private tabs support is still experimental when you try to do it.
Well, nothing's changed.
You could argue that there have more/fewer audits.
I don't have experience with the second point but the other two don't happen to me; it works as it should.
It works but partitions can and will happen and a merge afterwards is non-trivial AFAIK.
Quantisation is a potential factor but the graph does not show its effects and their comment describes the supposed effects sampling, not quantisation.
Also, when we come to discussing SNR, you'll have to consider the SNR of analog systems too.
"Didn't understand the sampling theorem" for $2 please.
As long as the frequency of the measured signal is <1/2 the sample rate, you can reconstruct the original signal perfectly.
If you plugged this jaggy-looking graph into a digital to analog converter with perfect analog circuitry, you'd get exactly the sine shown.
I really liked SAO and really didn't like the first season of this, so perhaps?
Yeah. I think I'd like to move to feddit.de when that becomes a possibility. Though I kinda do like my O.G. dev.lemmy.ml account too.