Dithering with POW-R algorithm

Archived from groups: rec.audio.pro (More info?)

"Ben Hanson" <transparency_76@hotmail.com> wrote in message
news:41647b68$1@mustang.speedfactory.net...
>I am learning a bit about the mastering process and read that this
> particular algorithm is regarded by many as the most accurate way to
> produce
> mastered 16-bit material from a >16-bit source. I know that some
> rack-mounted units implement the algorithm for this purpose, but do any
> software applications? Wavelab for example uses Apogee UV-22, is that
> about
> the extent of it?
>
> Sorry if I am mangling any definitions here, still learning...

Sonar 4 does.

Archived from groups: rec.audio.pro (More info?)

Blind Joni wrote:

>>Sonar 4 does.
>>
>
>
> Samplitude does too.

BIAS' Peak.

Archived from groups: rec.audio.pro (More info?)

In article <41647b68$1@mustang.speedfactory.net>,
Ben Hanson <transparency_76@hotmail.com> wrote:
>I am learning a bit about the mastering process and read that this
>particular algorithm is regarded by many as the most accurate way to produce
>mastered 16-bit material from a >16-bit source. I know that some
>rack-mounted units implement the algorithm for this purpose, but do any
>software applications? Wavelab for example uses Apogee UV-22, is that about
>the extent of it?

Most software that does noise shaping will give you a variety of different
noise configurations that you can use.

POW-R is just one of many popular noise patterns. But, it's a trademarked
one. But there are a lot of systems out there that have an option whose
noise is more or less similiar, just without so much hype.

Personally, most of the time, I tend to pick just plain gaussian noise and
not anything fancy. Every time I have used noise shaping, I have found
that the perceived noise floor was maybe a little lower, but there was some
sort of perceived tonal change too, as the result of the change in tone of
the noise floor.

It's best to have a system that gives you a dozen or so noise patterns so
you can try them out on your source material and see which one fits the
best. But don't give just plain gaussian noise short shrift.
--scott
--
"C'est un Nagra. C'est suisse, et tres, tres precis."