Oh no that's wrong isn't it :(
The log is necessary to keep the distribution normal, and the range is
going to get wider the closer to zero the radius is allowed to get.
The attached patch has a scale adjustment...
Still I wonder what kind of distribution gaussianoise2 gives, it's not
just white.
Martin
Martin Peach wrote:
Charles Henry wrote:
On Sun, Mar 16, 2008 at 11:16 AM, Martin Peach
<[EMAIL PROTECTED]> wrote:
(gaussianoise has occasional values that exceed [-1 ... 1], which I
suppose is normal...white noise is always on [-1...1])
That's true. With the Box-Muller method, there is the log(~U1) term,
but you can always just add a small value to U1, which will truncate
your distribution. The size of the small value can be calculated to
fit with any given threshold.
I think it's really because the Box-Muller method selects random numbers
in pairs which map to points in a unit square on the plane, but then
selects only those points which are inside the unit circle, something
that the pd patch doesn't do (how to resample points in a dsp vector
until they are in range?). The attached patch shows the straightforward
way of doing it by simply selecting a random radius and angle and
returning the resulting y coordinate as the random number. The results
are always on [-1,1].
I don't think sin~ will be any slower than log~.
Martin
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