Implements Burg's algorithm with real numbers.

Implements Burg's algorithm with complex numbers.

A faster algorithm than BurgAlgorithm, if the number of coefficients is less than 1/3 the length of the signal. This algorithm is based on a paper by Koen Vos, 2013.

Algorithms to estimate the parameters of a dynamic difference equation.

Dynamic parameter estimation with comb like spaced x and y input.

Dynamic parameter estimation with variable spaced x input.

Performs a linear fit to a given function base using singular value decomposition.

Functions for nonlinear minimization.

Levenberg - Marquard methods adapted to C# from C++ sources from Manolis Lourakis (see below).

Class for doing a quick and dirty regression of order 1 only returning intercept and slope. Can not handle too big or too input values.

Class for doing a quick and dirty regression of order 2 only returning the parameters A0, A1 and A2 as regression parameters. Can not handle too big or too small input values.

Uses the method of running sums to calculate mean, sample standard deviation, and standard deviation of a data set.

SavitzkyGolay implements the calculation of the Savitzky-Golay filter coefficients and their application to smoth data, and to calculate derivatives.

Stores the set of parameters necessary to calculate Savitzky-Golay coefficients.