Non Linear Curve Fitting

-Compatible with pre-2010 vers. of Matlab and Neural network toolbox-Trains a perceptron for the spring and one for the damper. -Runs a simulation with forcing function and noise.-If you don't have the toolbox, you can still use my back-propagation. Platforms: Matlab

In a number of vibration applications, systems under study are slightly non-linear. Cascade of Hammerstein models conveniently allows one to describe such systems.The Hammerstein Toolbox provides a simple method based on a phase property of exponential sine sweepsto estimate the structural... Platforms: Matlab

This is the algorithm involved on the use of the non-linear forecast of asset's prices based on the nearest neighbour method.The basic idea of the NN algorithm is that the time series copies it's own past behavior, and such fact can be used for forecasting purposes. On the zip file there are two... Platforms: Matlab

LABEL is a generalization of BWLABEL: BWLABEL works with 2-D binary images only, whereas LABEL works with 2-D arrays of any class. L = LABEL(I,N) returns a matrix L, of the same size as I, containing labels for the connected components in I. Two adjacent components (pixels), of respective indexes... Platforms: Matlab

The model relies on the theory of strength of least square curve fitting and auto regression techniques. Platforms: Matlab

The Ejs Duffing Oscillator model computes the solutions to the non-linear Duffing equation, which reads, x'' + 2?zN*x' - x (1 - x2) = f cos(?Ya*t), where each prime denotes a time derivative. The simulation displays the solution as well as the phase space and Poincare plots, and energy diagram.... Platforms: Mac

The Ejs Duffing Phase model computes the solutions to the non-linear Duffing equation, which reads, x'' + 2?zN*x' - x (1 - x2) = f cos(?Ya* t), where each prime denotes a time derivative. The simulation displays the evolution of a group of oscillators with similar initial parameters on a phase... Platforms: Mac

The Ejs Duffing Chaos model computes the solutions to the non-linear Duffing equation, which reads, x'' + 2?zN*x' - x (1 - x2) = f cos(?Ya* t), where each prime denotes a time derivative. The simulation displays two solutions with different initial positions and a plot of phase. The evolution... Platforms: Mac

The Ejs Duffing Poincare model computes the solutions to the non-linear Duffing equation, which reads, x'' + 2?zN*x' - x (1 - x2) = f cos(?Ya* t), where each prime denotes a time derivative. The simulation displays the solution Poincare plot. The evolution parameters can be changed via textboxes.... Platforms: Mac

The Ejs Duffing Attractor model computes the solutions to the non-linear Duffing equation, which reads, x'' + 2?zN* x' - x (1 - x2) = f cos(?Ya* t), where each prime denotes a time derivative. The simulation displays a three-dimensional plot of phase space versus angle and three Poincare plots... Platforms: Mac

Kdenlive is an intuitive and powerful multi-track video editor, including most recent video technologies. Our software is completely free, as defined by the GNU foundation. Using Kdenlive is investing in a community driven project, which aims to establish relationships between people in order to... Platforms: *nix

KinetDS is a software for curve fitting particularly designed for kinetic (mechanistic and empirical) description of a substance dissolution from solid state. It was primarily designed for handling pharmaceutical dissolution tests Platforms: *nix

Statistics::OLS is a Perl module to perform ordinary least squares and associated statistics. SYNOPSIS use Statistics::OLS; my $ls = Statistics::OLS->new(); $ls->setData (@xydataset) or die( $ls->error() ); $ls->setData (@xdataset, @ydataset); $ls->regress(); my ($intercept, $slope)... Platforms: *nix

Crypt::ECDSA::Curve is a base class for ECC curves. These are for use with Crypt::ECDSA, a Math::GMPz based cryptography module. METHODS new Constructor. Takes the following named pair arguments: standard => standard-curve-name Used for named standard curves such as the NIST standard... Platforms: *nix

The software system solves constrained nonlinear parameter estimation problems. Synonyms are data fitting, nonlinear regression, parameter identification, curve and surface fitting. A statistical analysis provides confidence intervals, correlation and covariance matrices, identification of... Platforms: Windows

DMFitter ActiveX control allows you to add sophisticated regression analysis tools to your software in a few lines of code. Features include: both linear and nonlinear (Levenberg-Marquardt) least squares curve fitting algorithms, arbitrary user models (defined analytically or by string... Platforms: Windows

This is the fastest (though not most accurate) method of fitting a circlle to data points on a plane (given by their xy-coordinates). It returns the circle center (a,b) and radius R. It was proposed by I. Kasa in article "A curve fitting procedure and its error analysis", IEEE Trans. Inst. Meas.,... Platforms: Matlab

MagicPlot is a handy tool for scientific and engineer data processing, plotting and nonlinear fitting. MagicPlot is powerful enough and consistent. Advantages * Compact: Single file ~2 MB * Multilevel undo function for all actions * Useful plot navigation and scaling * Visual nonlinear... Platforms: All

MagicPlot is a handy tool for scientific and engineer data processing, plotting and nonlinear fitting. MagicPlot is powerful enough and consistent. Advantages * Compact: Single file ~2 MB * Multilevel undo function for all actions * Useful plot navigation and scaling * Visual nonlinear... Platforms: All

A command-line peak fitting program for time-series signals, written as a self-contained Matlab function in a single m-file. Uses an non-linear optimization algorithm to decompose a complex, overlapping-peak signal into its component parts. The objective is to determine whether your signal can be... Platforms: Matlab