Least Squares Fit Method

Group and Block Sparse Signal reconstruction viaMatching Pursuit - BMP, GMPGradient Pursuit - block_gp, group_gpNearly Orthogonal Matching Pursuit - block_nomp, group_nompPartial Conjugate Gradient Pursuit - block_pcgp, group_pcgpOrthogonal Least Squares - BOLS, GOLS

4 files are included in the package:(1) fs01.m - the 1st-order local linear approximation (LLA) very similar to algorithm by Farmer and Sidorowich (1987). Uses constrained linear least squares (lsqlin) and(2) ts1.m - to reconstruct the vectors of the state space.(3) Example.m - runs fs01 and ts1...

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

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 Kernel-Machine Library is a freely available (released under the GPL) C++ library to promote the use and progress of kernel machines. It is both for academic use and for developing real world applications. The Kernel-Machine Library draws heavily from features of modern C++ such as template...


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

Sagata Multiple Regression software offers the power of a professional regression package with the ease and comfort of a Microsoft Excel interface.Features include:Qualitative/Categorical Factors - often inputs or factors in model fitting are qualitative or categorical in nature, e.g., the type...


Platforms: Windows

Is a cross-platform software package for econometric analysis, written in the C programming language. It 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 Easy...


Platforms: Windows

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

I need to thank Duane Hanselman for suggesting this great idea.Fminspleas is a simple nonlinear least squares tool that fits regression models of the formY = a1*f1(X,C) + a2*f2(X,C) + ... + an*fn(X,C)X can be any array, so it works on multidimensionalproblems, and C is the set of only...


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