Lifting Weights

PURPOSE: calculate local Moran's I for a local grid using a weight matrix.-------------------------------------------------------------------USAGE: m = moransI(grid, W, s);where: [grid] is the matrix to analyze [W] is the normalized weight matrix of the size the local Moran's I will be calculated... Platforms: Matlab

This function which is based on the bilateral filter provided Douglas R. Lanman, Brown University, September 2006, will compute the weights based on one image to be used as bilateral filter weights on another image. 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

RLS is one of the great adaptive filter algorithms. In this file ,an experiment is made to identify a linear noisy system with the help of RLS algorithm. The weights of the estimated system is nearly identical with the real one.A reference is used to write the algorithm. Platforms: Matlab

NLMS is one of the adaptive filter algorithms. In this file ,an experiment is made to identify a linear noisy system with the help of NLMS algorithm. The weights of the estimated system is nearly identical with the real one. Also , adaptive learning rate has been applied.A reference is used to... Platforms: Matlab

function W = euklid_W(ws,d,n)function W = euklid_invW(ws,d,n) PURPOSE: create an (inverse) euklidean distance spatial weight matrix (n x m 'moving-window' style matrix with distance to center cell weighted.) ------------------------------------------------------------------ USAGE: W =... Platforms: Matlab

Demonstrates the use of MATLAB's nested functions to create graphical tools with little coding. This example creates an efficient frontier from supplied data (or generates random returns if no inputs are supplied) and then allows the user to move a crosshair along the efficient frontier to view... 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

Reporting tool, with leading indicators for each asset, for an example Quantitative Fund.This asset definition is read by the runregression.m matlab file submitted elsewhere and allows to compute correlation coefficients and assign weights to relevant indicators when doing forecasting. Platforms: Matlab

The archive contains sugenotune.m which is used to tune Sugeno-type FIS outputs. The used methods are ldivide, Kalman filter, pseudoinversion, Kaczmarz algorithm, and gradient descent methods. Though the user can supply sugenotune.m with his own methods.Remarks:- FIS with multiple outputs is... Platforms: Matlab

This function finds the weighted center of the 3D image A. The weights are the pixel values of A. This can be used to locate objects in 3D medical images. Platforms: Matlab

A collection of functions is presentedwhich includes 2nd generation waveletdecomposition and reconstruction toolsfor images as well as functions for thecomputation of moment invariants.The wavelet schemes rely on the liftingscheme of Sweldens. Rectangular gridsare split into quincunx grids,... Platforms: Matlab

This extremely fast and efficient algorithm uses MATLAB's ifft routine to compute the Clenshaw-Curtis nodes and weights in linear time. The routine appears optimal for 2^N+1 points. Running on an average laptop, this routine computed N=2^20+1 (1048577 points) in about 4.5 seconds. Great for... Platforms: Matlab

Given a block of samples of a reference signal and a block of samples of a desired signal, the function updates the filter weights and returns a block of error samples. Platforms: Matlab

PGFHIST2D(X, Y, W) will save a PNG file representing the 2D histogram created from data points specified by X and Y with weights specified by W. The vectors X, Y, and W must have the same number of elements. The text to include in a Latex file to produce the histogram is displayed. Valid options... Platforms: Matlab

Computes the variance of a linear sum of variables. Requires a vector of weights (for the linear sum), and a covariance matrix of the variables. Platforms: Matlab

The program constructs qc-lpdc codes given size of sub-mnatrix(m), girth(g1), row (k) and column(j) weights. It uses a serch algorith that might not find a code gvien the above parameters. The program is also given a Base-Matrix. Platforms: Matlab

Compute the solution to the arbitrary-shape thin wire integral equation found in Section 4.5 ofGibson, Walton C. "The Method of Moments in Electromagnetics," Taylor and Francis/CRC, 2008.Assumes a straight wire along z-axis.Gauss-Legendre quadrature weights are computed using the following... Platforms: Matlab

v=randsampleWRW(x,k,w)Returns V, a weigthed sample of K elements taken among X without replacementX a vector of numericsK amount of element to sample from xW a vector of positive weights w, whose length is length(x)% EXAMPLE:% for i=1:100% v(i)=randsampleWRW([0,0.5,3,20],1,[0.5,0.4,0.05,0.05]);%... Platforms: Matlab

For vectors, WMEAN(X,W) is the weighted mean value of the elements in X using non-negative weights W. For matrices, WMEAN(X,W) is a row vector containing the weighted mean value of each column. For N-D arrays, WMEAN(X,W) is the weighted mean value of the elements along the first non-singleton... Platforms: Matlab