|Variable-hardness clipping function|
References : Posted by Laurent de Soras
Linked file : laurent.gif
k >= 1 is the "clipping hardness". 1 gives a smooth clipping, and a high value gives hardclipping.
Don't set k too high, because the formula use the pow() function, which use exp() and would overflow easily. 100 seems to be a reasonable value for "hardclipping"
f (x) = sign (x) * pow (atan (pow (abs (x), k)), (1 / k));
Added on : 14/11/03 by antiprosynthesis[ AT ]hotmail[ DOT ]com
Use this function instead of atan and see performance increase drastically :)
inline double fastatan( double x )
return (x / (1.0 + 0.28 * (x * x)));
Added on : 16/07/04 by spam[ AT ]musicdsp[ DOT ]org
The greater k becomes the lesser is the change in the form of f(x, k). I recommend using
f2(x, k2) = sign(x) * pow(atan(pow(abs(x), 1 / k2)), k2) , k2 in [0.01, 1]
where k2 is the "clipping softness" (k2 = 0.01 means "hardclipping", k2 = 1 means "softclipping"). This gives better control over the clipping effect.
Added on : 12/08/04 by notinformed[ AT ]nomail[ DOT ]org
Don't know if i understood ok , but, how can i clip at diferent levels than -1.0/1.0 using this func? tried several ways but none seems to work
Added on : 14/08/04 by xeeton[AT]gmail[DOT]com
The most straightforward way to adjust the level (x) at which the signal is clipped would be to multiply the signal by 1/x before the clipping function then multiply it again by x afterwards.
Added on : 09/10/04 by cschueler[at]gmx[dot]de
Atan is a nice softclipping function, but you can do without pow().
x: input value
a: clipping factor (0 = none, infinity = hard)
y = ainv * atan( x * a );
Added on : 28/05/06 by scoofy[ AT ]inf[ DOT ]elte[ DOT ]hu
Even better, you can normalize the output using:
shape = 1..infinity
output = inv_atan_shape * atan(input*shape);
This gives a very soft transition from no distortion to hard clipping.
Added on : 03/01/11 by travelan[ AT ]gmail[ DOT ]com
What do you mean with 'shape'?
Is it a new parameter?
Added on : 17/01/13 by superhotmuffin[ AT ]hotmail[ DOT ]com
sign (x) * pow (atan (pow (abs (x), k)), (1 / k));
OUCH! That's a lot of pow, atan and floating point division - probably kill most CPU's :) My experience has been that any sigmoid function will create decent distortion if oversampled and eq'ed properly. You can adjust the "hardness" of the clipping by simply changing a couple coefficients, or by increasing/decreasing the input gain: like so:
y = A * tanh(B * x)
Cascading a couple/few of these will give you bone-crushing, Megadeth/Slayer style grind while rolling back the gain gives a Fender Twin sound.
Two cascaded half-wave soft clippers gives duty-cycle modulation and a transfer curve similar to the 3/2 power curve of tubes. I came up w/ a model based on that solution after reading reading this: http://www.trueaudio.com/at_eetjlm.htm (orig. link at www.simulanalog.org)
Added on : 14/06/13 by superhotmuffin[ AT ]hotmail[ DOT ]com
If anyone is interested, I have a working amp modeler and various c/c++ classes that model distortion circuits by numerical solutions to non-linear ODE's like those described by Yeh, Smith, Macak, Pakarinen, et al. in their PhD disertations and DAFX papers. Although static waveshapers/filters can give decent approximations & cool sounds, they lack the dynamic properties of the actual circuits and have poor harmonics. I also have whitepapers on my implementations for those that think math is cool. Drop me a line for more info.
Added on : 15/03/18 by nestor[ DOT ]ajtekin[ AT ]mail[ DOT ]ru
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Ó Âàñ åñòü øàíñ çàðàáàòûâàòü äî 200 000 ðóáåé â ìåñÿö.
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