LabVIEW
Exponentially Modified Guassian Levenberg - Marquardt method
It's a relatively straightforward task to generate a Guassian in LabVIEW using a formula node with the following:
y=a*exp((-1)*(((x-b)/c))^2);
This makes it also easy to use the nonlinear Levenberg - Marquardt method vi to solve for a, b & c.
However, does anyone know of a similar method to use the L-M method to solve for an Exponetially Modified Guassian (EMG)? Specifiaclly, is there a way to either a) incorporate an integral with programmable boundaries or b) use an error function when writing an equation in G?
y=a*exp((-1)*(((x-b)/c))^2);
This makes it also easy to use the nonlinear Levenberg - Marquardt method vi to solve for a, b & c.
However, does anyone know of a similar method to use the L-M method to solve for an Exponetially Modified Guassian (EMG)? Specifiaclly, is there a way to either a) incorporate an integral with programmable boundaries or b) use an error function when writing an equation in G?
Just to answer myself, in case anyone else deals w/ this...
The trick is to use a polynomial expansion or other numerical approximation in place of the erf.
The trick is to use a polynomial expansion or other numerical approximation in place of the erf.
