Least Squares Regression

CoffeeSaint is a fully customizable Nagios status viewer. It grabs the status from a Nagios server and displays it in a fullscreen GUI. It is written in Java so it should run on all platforms (tested on Linux, AIX 6.1 and windows xp) capable of running Java 5. For compiling with GCJ you need at... Platforms: *nix

This is a cross-platform software package for econometric analysis, written in the C programming language. It is is free, open-source software. You may redistribute it and/or modify it under the terms of the GNU General Public License (GPL) as published by the Free Software Foundation. Features... Platforms: Windows, Mac, *nix, C/C++, BSD Solaris

GWC is an application to do digital audio restoration on wavfile data, i.e. remove hisses and clicks. It features click repair using least squares autoregressive interpolation, and is based on the FFTW library. This is still beta code, so back up your data files first. It is resulting of never... Platforms: *nix

PDL::Fit::Levmar is a Perl module with Levenberg-Marquardt fit/optimization routines. Levenberg-Marquardt routines for least-squares fit to functions non-linear in fit parameters. This module provides a PDL ( PDL::PDL ) interface to the non-linear fitting library levmar (written in C). Levmar... Platforms: *nix

LAPACK is a linear algebra library, based on LINPACK and EISPACK. LAPACK is written in Fortran77 and provides routines for solving systems of simultaneous linear equations, least-squares solutions of linear systems of equations, eigenvalue problems, and singular value problems. The associated... Platforms: *nix

The GNU Scientific Library (GSL) is a numerical library for C and C++ programmers. It is free software under the GNU General Public License. GNU Scientific Library provides a wide range of mathematical routines such as random number generators, special functions and least-squares fitting. There... Platforms: *nix

Statistics::LTU is an implementation of Linear Threshold Units. SYNOPSIS use Statistics::LTU; my $acr_ltu = new Statistics::LTU::ACR(3, 1); # 3 attributes, scaled $ltu->train([1,3,2], $LTU_PLUS); $ltu->train([-1,3,0], $LTU_MINUS); ... print "LTU looks like this:n"; $ltu->print;... Platforms: *nix

TAPPY was specially developed using the Python programming languages as a tidal analysis package. It breaks down a record of water levels into the component sine waves. This Python program uses the least squares optimization and other functions in SciPy. The focus is to make the most accurate... Platforms: Windows

If the signal frequency has to be guess, then it should be close to real frequency value. Requirements: - MATLAB 7.6 (R2008a) Platforms: Windows, Mac, *nix, Matlab, Solaris

This package is a loosely defined collection of tools for application of Python in a laboratory environment. It consists of pure python protocol drivers for various useful devices, including: National Instrument DSTP protocol to interface Python to LabVIEW VXI-11 protocol, to allow python to talk... Platforms: Windows, Mac, *nix, Python, BSD Solaris

This application is an open-source machine learning program for supervised classification of patterns (vectors of measurements). PCP implements the following algorithms and methods: - Fisher's linear discriminant - dimensionality reduction using Singular Value Decomposition - Principal... Platforms: Windows, Mac, *nix, C/C++, BSD Solaris

Functions are described briefly below:1) er_add: Add given tranfer functions.2) er_blaschke: Perform desired frequency transformation of digital filter using Blaschke products.3) er_conv: Multiply transfer functions.4) er_fconv: Convolve transfer functions in frequency domain.5) er_firlsinv: Find... Platforms: Matlab

Title: Secrets of the Tide: Tide & Tidal Current Analysis and Predictions, Storm Surges, and Sea Level Trends. Horwood Publishing Limited, 2004.MATLAB programs for the analysis and prediction of ocean tides and tidal currents with graphic display of data and evaluation statistics.Two MATLAB... Platforms: Matlab

This is a fast and non-iterative ellipse fit. Usage: A = EllipseDirectFit(XY)Input: XY(n,2) is the array of coordinates of n points x(i)=XY(i,1), y(i)=XY(i,2) Output: A = [a b c d e f]' is the vector of coefficients of the equation of the best fitting ellipse: ax^2 + bxy + cy^2 + dx + ey + f =... Platforms: Matlab

How to fit a 2D Gaussian function to noisy data in Matlab? Or data with another number of dimensions and arbitrary fit function?It took me a while to find out how Matlab does this by the functions lsqcurvefit, fmincon or fminsearch. This project demonstrates how to use these functions to fit ND... Platforms: Matlab

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

FitChiTool provides an interface similar to the Curve Fitting Toolbox to the fitChiSquare function.This allows you to perform fits using chi-square when measurement errors are known on linear or nonlinear models. It allows allows you to perform fits with multiple independent (more than one x)... Platforms: Matlab

This program estimates the background (or baseline) of optical spectra by the polynomial minimizing a cost function. If the cost function was quadratic, the solution is the least squares estimation, which is not appropriate in this problem. Instead, we need to use of non-quadratic cost function... Platforms: Matlab

A fast customizable function for locating and measuring the peaks in noisy time-series signals. Adjustable parameters allow discrimination of "real" signal peaks from noise and background. Determines the position, height, and width of each peak by least-squares curve-fitting. It can find and... Platforms: Matlab

Like polyfit.m but includes weighting of each data point.Summary----------------Find a least-squares fit of 1D data y(x) with an nth order polynomial, weighted by w(x).Usage-----P = polyfitweighted(X,Y,N,W) finds the coefficients of a polynomial P(X) of degree N that fits the data Y best in a... Platforms: Matlab