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.
To further understand the implementation of hyperparameters re-estimation technique in Bayesian hierarchical model, we added two more prior assumptions over the weight in BayesPI, namely Laplace prior and Cauchy prior, by using the evidence...
Compute the solution to Pocklingtons's Integral Equation using pulse basis functions and point matching. Assumes a straight wire along z-axis.
Gauss-Legendre quadrature weights are computed using the following script:
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.) ...
The Radial Basis Function (RBF) with LMS algorithm for Simulink. The Radial Basis Function (RBF) Batch-mode training Fixed centers selected at random The Gaussian basis functions Computing the output weights with LMS...
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 =...
Compute the solution to Hallen's Integral Equation with symmetric excitation using pulse basis functions and point matching. Assumes a straight wire along z-axis.
Uses the following script for gaussian quadrature weights:
Link Weights is a utility module that allows you to rearrange the order that links display in the links section of nodes. For example, with this module you can display flags and commenting links before sharing and printing links.
A demonstration of the fast algorithm built in to the chebfun system for computing the nodes and weights of Gauss-Legendre quadrature.
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...
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 form
Y = a1*f1(X,C) + a2*f2(X,C) + ... + an*fn(X,C)
X can be...
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...
Units API converts between various weights and measurements.
The central API call, unitsapi_convert($value, $from, $to, $details = FALSE), uses the International System of Units (SI) conversion factors to convert measurement units.
Ever wonder how the weights and abscissae are calculated for the numerical conversion from radiance to flux? The long and the short of it is that Gauss-Jacobi quadrature determines the weights and abscissae which is similar to Gaussian for...
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.
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.
Drupal assigns each module a weight. For most operations involving any module that defines a particular hook, the modules are invoked in order first by weight, then by name. This module adds a weight column to the module administration page,...
This is a very simple module that adds a 'weight' field to the tables already used by the excellent Flag module.
This weight can then be used to provide ordering of flagged items. This module also provides a Views field which can be...
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...
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. |