Peakgaussian: Difference between revisions
Jump to navigation
Jump to search
imported>Jeremy (Importing text file) |
No edit summary |
||
Line 36: | Line 36: | ||
The function is | The function is | ||
: y = x(1)*exp( -(( p-x(2) ).^2)/( 2*x(3)^2 ); | |||
===Examples=== | ===Examples=== | ||
Line 50: | Line 50: | ||
===See Also=== | ===See Also=== | ||
[[peakfunction]], [[peaklorentzian]], [[peakpvoigt1]], [[peakpvoigt2]], [[peakstruct]] | [[peakfunction]], [[peakexponential]], [[peaklorentzian]], [[peaksigmoid]], [[peakpvoigt1]], [[peakpvoigt2]], [[peakstruct]] |
Revision as of 08:41, 23 May 2023
Purpose
Outputs a Gaussian function, Jacobian, and Hessian for a given set of input parameters and axis.
Synopsis
- [y,y1,y2] = peakgaussian(x,ax)
Description
Given a 3-element vector of parameters (x) and a vector of independent variables e.g. a wavelength or frequency axis (ax), PEAKGAUSSIAN outputs a Gaussian peak (y). If more than one output is requested, it also outputs the Jacobian (y1) and Hessian (y2). Derivatives are with respect to the parameters and are evaluated at (x). This function is called by PEAKFUNCTION.
Inputs
- x = 3 element vector with parameters
- x(1) = coefficient ,
- x(2) = mean , and
- x(3) = spread .
- ax = vector of independent variables e.g. a wavelength or frequency axis with elements , .
Outputs
- y = vector with the Gaussian function, .
- y1 = matrix of the Jacobian of evaluated at (x).
- y2 = matrix of the Hessian of evaluated at (x).
Algorithm
The function is
- y = x(1)*exp( -(( p-x(2) ).^2)/( 2*x(3)^2 );
Examples
- %Make a single known peak
- ax = 0:0.1:100;
- y = peakgaussian([2 51 8],ax);
- plot(ax,y)
See Also
peakfunction, peakexponential, peaklorentzian, peaksigmoid, peakpvoigt1, peakpvoigt2, peakstruct