Ahmed-ElTahan/Deterministic-Batch-Least-Squares
561972016-03-28T12:24:47Z2016-03-28T12:24:47ZThis function is intended to estimate the parameters of a static system such as a polynomial fitting or dynamic system such as transfer function of unknown...
View ArticleParameter Extraction using Least Squares
624182017-04-04T22:07:54Z2017-04-04T22:07:54ZThis Parameter extraction code fits a known model to a given measurement data in least-squares sense. It is generalized for any number of variables and...
View Articleiterative weighted least squares
650162017-11-09T23:34:46Z2017-11-09T23:34:46Zgauss-newton
View ArticleRecursive Least Squares
563602016-04-04T21:55:01Z2016-04-04T21:55:01ZThis function estimates the transfer function coefficients (System Parameters) "online" using Recursive Least Squares Method.
View ArticleApproximate Least Squares Curve Fitting (lsqcurvefit_approx)
937102023-08-14T20:27:33Z2023-08-14T20:27:33Zlsqcurvefit_approx Fits linear and polynomial models to data using linear least squares and approximates nonlinear models through...
View ArticleComprehensive DSP Toolbox v1.0
65382004-12-22T09:27:37Z2004-12-22T09:27:37ZFunctions are described briefly below:1) er_add: Add given tranfer functions.2) er_blaschke: Perform desired frequency transformation of digital filter using...
View ArticleOrthogonal Least Squares Algorithms for Sparse Signal Reconstruction
228282009-01-29T18:03:42Z2009-01-29T18:03:42ZAdded after previous versionols_gp: Sparse reconstruction by Orthogonal Least Squares followed by Gradient Pursuitols_nomp: Sparse reconstruction by...
View Articlepolyfit3
42622010-12-16T16:36:27Z2010-12-16T16:36:27ZPOLYFIT3(X,Y,N,NUL,W) finds the coefficients of a polynomial P(X) of degree N that fits the data, P(X(I))~=Y(I), in a least-squares sense. Any of the...
View ArticleLeast Square Linear Regression
649602017-11-05T13:22:35Z2017-11-05T13:22:35ZIn this app, users are able to change the slope and intercept of a "fit" line and visualize error. Users can also choose to show the least square regression...
View ArticleEllipse Fit
224232008-12-13T11:16:57Z2008-12-13T11:16:57ZUsage:[semimajor_axis, semiminor_axis, x0, y0, phi] = ellipse_fit(x, y)Input: x - a vector of x measurements y - a vector of y measurementsOutput:...
View ArticleFour-Parameter Sinefit
232142019-01-04T12:53:33Z2019-01-04T12:53:33ZIEEE Standard for Digitizing Waveform Recorders (IEEE Std 1057): Algorithm for least squares fit to sinewave data using matrix operations:- three-parameter...
View ArticleFast and Accurate Symmetric Positive Definite Matrix Inverse Using Cholesky...
345112015-02-18T16:27:52Z2015-02-18T16:27:52ZWe can exploit the structure of a real, positive definite, symmetric matrix by using the Cholesky decomposition to compute the inverse. The standard MATLAB...
View ArticleNIST Statistical Reference Datasets for Nonlinear Regression
380572012-09-07T15:27:01Z2012-09-07T15:27:01ZThe Statistical Reference Datasets Project, maintained by staff of the Statistical Engineering Division within the IT Laboratory of the National Institute...
View ArticleFitting an ellipse to a given set of points
321062011-07-06T20:44:35Z2011-07-06T20:44:35ZThe most accurate and robust fit minimizes geometric (orthogonal) distances from the observed points to the fitting curve. Our goal is to minimize the sum...
View ArticleRestricted Cubic Spline
412412013-04-11T19:29:01Z2013-04-11T19:29:01Z%Fits the so called restricted cubic spline via least squares (see Harrell %(2001)). The obtained spline is linear beyond the first and the last %knot. The...
View ArticleLeast Squares Polynomial Fitting for Noisy Data
912052021-04-28T14:24:11Z2021-04-28T14:24:11ZThis snippet, is in reality the initial prototype I used for building my polynomial least squares class/module in C and Fortran, respectively. As you'll...
View ArticleLSWAVE-SignalProcessing
705262023-03-13T02:28:52Z2023-03-13T02:28:52ZThe least-squares wavelet analysis (LSWA) is a robust method of analyzing any type of time/data series without the need for editing and preprocessing of the...
View Articledetrend3
613282017-01-29T00:12:51Z2017-01-29T00:12:51ZThis function behaves just like Matlab's detrend function, but detrending is applied along the third dimension of all rows and columns of a 3D dataset. If...
View ArticlegriddataLSC
573422018-12-10T08:21:39Z2018-12-10T08:21:39ZgriddataLSC can be used interpolate data using least squares collocation.It offers the choice of 6 covariance functions; 1. the 3-D logarithmic covariance...
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