From the original SynthMaker forum (2004–2014), with its members’ names and dates.
distante ·
Hey guys I'm writing about the theory of the stuff used in SM for my project. But I'm a little bit stuck in the normalized signals.
Since the frequencies and levels in SM are normalized I need to specify why or for what reason this is used in this way.
I know that make maths using normalized values is faster that use non normalized values, but I need to put this in a "more technical way" 😊
Can anyone point me to some site, article or something regarding the normalization of the signals? I can't find anything in English (or Spanish!) 🙁
Thanks!
CoreStyler ·
Take a look of that:
http://en.wikipedia.org/wiki/Normalized ... cessing%29
One of the thing that i think is problematic, using hertz, is the fact that the values will move up/down too rapidly. and fast transitions causes crackles and pops.
Another is " Normalization produces a distribution that is independent of the sample rate, and thus one plot is sufficient for all possible sample rates. ".
If you do some maths for using your synth source not normalized (and is maybe possible too with SM, custom OSC and stuff) can be problematic when you get a different sample rate from the host. An arbitrary value, fit all the sample rates.
Some People here can correct my affermations if they are wrong and maybe explain a lot of more.
tester ·
From what I was told here, normalized values are rather needed due to automation in hosts. I'm using non-normalized values (user friendly presets for manual edit plus rescaling inaccuracy problem when going to 0-1 and back).
Normalization rather has to do with the fact, that you deal with different kind of signals and values on the same ground, like mixing frequency with gain and so on; in order to make easier translation between such values - so called "normalized range" is used. According to that normalized range then - inputs and outputs are set to accept them.
Normalization also forces you to use relativity (something in relation to something else, borderlines are your reference) , because you don't exceed the specified range (no +/- infinity, just scaling infinities between 0-1, which means easier to handle the limits), and thus have no zylion dilion values beyond resolution (like 32bit float limit).
distante ·
Thanks guys!
I have a explanation now 😀
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