Nonlinear Correlation

CurveExpert Professional is a cross-platform solution for curve fitting and data analysis. Data can be modelled using a toolbox of linear regression models, nonlinear regression models, smoothing methods, or various kinds of splines. Over 60 models are built-in, but custom regression models...

mtpile is a specialized program that has been designed in order to compute the displacements, shear forces, bending moments and soil reactions, allowing for the nonlinear behavior of both the soil and the pile. Now you are offered an accessible and handy tool to calculate displacements.

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

The APMonitor Modeling Language is optimization software for differential and algebraic equations. It is coupled with large-scale nonlinear programming solvers for data reconciliation, real-time optimization, dynamic simulation, and nonlinear predictive control. It is available as a free web...


Platforms: Windows

The DynaFit application was developed to perform nonlinear least-squares regression of chemical kinetic, enzyme kinetic, or ligand-receptor binding data. The experimental data can be either initial reaction velocities in dependence on the concentration of varied species (e.g., inhibitor...


Platforms: Windows

The software system allows to solve constrained nonlinear programming problems by an efficient sequential quadratic programming (SQP) method. A nonlinear objective function is to be minimized subject to nonlinear equality or inequality constraints. The numerical code is called NLPQL, which is...


Platforms: Windows

A plug-in for Abaqus FEA with empiric data for many types of materials (linear, nonlinear, ortotropic). A simple GUI for creating properties for common materials and sections for bulk and shells.


Platforms: Windows, Mac, Linux

Nifty Sim is a high-performance nonlinear finite element solver, developed at University College London. A key feature is the option of GPU-based execution, which allows the solver to significantly out-perform equivalent commercial packages.


Platforms: Windows, Mac, Linux

The goal of this project is to develop an open source event correlator called SEC (Simple Event Correlator) that could be used for network management, log file monitoring, security management, and other tasks which involve event correlation.


Platforms: Windows, Mac, Linux

'Statistics for MySQL' provides additional statistical functions (like Pearson's coefficient of correlation) which are missing in MySQL. DLLs for 32 and 64bit Windows as well as makefiles for Linux are available.


Platforms: Windows, Mac, BSD, Linux

The state space model is nonlinear and is input to the function along with the current measurement. It performs the extended Kalman filter and returns the estimated next state and error covariance. Requirements: - MATLAB 7.6 or higher


Platforms: Windows, Mac, *nix, Matlab, BSD Solaris

The function plot_hht is a realization of the Hilbert-Huang transform (HHT). The HHT decomposes a signal into intrinsic mode functions (or IMFs), and obtain the instantaneous frequency data. It is designed to work well for data that are nonstationary and nonlinear...


Platforms: Matlab

In Radars, range resolution and long range of operation are the two important aspects. Long range operation means the maximum distance over which radar can detect the targets. The radar transmit modulated pulses to take the advantages of better processing gain and resolution of these waveforms...


Platforms: Matlab

This program performs a Monte Carlo simulation of a coherent QPSK communication system and plot the error probability performance over additive whit Gaussian noise channel. The detection is based on correlation metric. Simulation is performed for 10,000 bits and measurements are made accordingly.


Platforms: Matlab

DFT plays important role in DSP and used in wide variety of applications like correlation and spectral analysis. Understanding quantization errors in its computation is an important aspect of its design either for s/w or h/w implementation.A complex DFT of N points has N complex (4N real)...


Platforms: Matlab

This file set includes a top level unsychronized Tx / Rx model and a more detailed synchronized Rx model. The top level model Tx outptut has been tested with a third party reference mil-std-188-110 modem and found to generates compliant waveforms. A variable symbol rate Tx driving the...


Platforms: Matlab

A fast vectorized implementation of the ncc that handles color (3 channel) images as well as gray level.The algorithm for colored images is based on the ncc formulation for vector valued functions.Note: A bug that I found in the normxcorr2 was also fixed here.


Platforms: Matlab

Nonlinearity detection scheme based on zeroing the initial time response over various intervals and computing the FFT of each, as described in: M. S. Allen and R. L. Mayes, "Estimating the Degree of Nonlinearity in Transient Responses with Zeroed Early-Time Fast Fourier Transforms," in...


Platforms: Matlab

Develop a Matlab program to demonstrate a neural network autoassociative memory. Show the importance of using the pseudoinverse in reducing cross correlation matrix errors. Show the performance of the autoassociative memory in noise. The results are contained in the Matlab file assoc_mem_demo.m


Platforms: Matlab

This is a small example code for "Steepest Descent Algorithm". It implements steepest descent Algorithm with optimum step size computation at each step. The code uses a 2x2 correlation matrix and solves the Normal equation for Weiner filter iteratively.Reference:Adaptive Filter Theory 3rd...


Platforms: Matlab