Matrices Inverse Diagonal

SHPATH - shortest path with obstacle avoidance (ver 1.3) Given a "terrain" matrix consisting of zeros (for open space) and ones (for obstacles), this function computes the shortest path between two specified points while avoiding obstacles.A two-stage solution is employed. In stage one, the... Platforms: Matlab

Copyright (C2010-2013) Yang XIAO, BJTU, April 16, 2010, E-Mail: yxiao@bjtu.edu.cn. This program can produce the Parity Check Matrices of DVBS2 codes, while Ref. [1] remindes you that these codes are not good as the LDPC codes IEEE802.16e for continuous bits' errors. Refenrences: [1] X. Huang, Y.... 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

Applying the inverse transform method to the normal distribution entails evaluation of the inverse normal. This is the Beasley-Springer-Moro algorithm for approximating the inverse normal.Input: u, a sacalar or matrix with elements between 0 and 1Output: x, an approximation for the inverse normal... Platforms: Matlab

SHPATH - shortest path with obstacle avoidance (ver 1.3) Given a "terrain" matrix consisting of zeros (for open space) and ones (for obstacles), this function computes the shortest path between two specified points while avoiding obstacles.A two-stage solution is employed. In stage one, the... Platforms: Matlab

[psi gopt] = dfdesign_w(phi, w, d);DFDESIGN_W computes the H-infinity optimal inverse filter of a given filter phi(z).The resulting filter psi(z) minimizes the H-infinity norm of the error systemE_w(z) = [z^(-d) - psi(z)phi(z)]w(z).If an error occurs, use "dfdesign_w_lmi.m".[INPUT]phi: target... Platforms: Matlab

This file : eig_svd_herm_unit_pos_def_2.m is a modified (improved) version of my previous file. The main correction has been to include issparse() instead of class() to identify a Sparse Matrix. This change is essential for R13.The file eig_svd_herm_unit_pos_def_2.m and it's companion files... Platforms: Matlab

An implementation of the image normalization (and inverse normalization) part of P. Dong et al.'s paper: "Digital Watermarking Robust to Geometric Distortions," IEEE Trans. Image Processing, Vol. 14, No. 12, pp. 2140-2150, 2005. Platforms: Matlab

AB_MBA_SHOW visualize 2x2 matrices A and B, they satisfy AB = -BA.You can fin this problem in Introduction to Linear Algebra 4th ed. by Gilbert Strang. Chapter 2, Section 4, Rules for Matrix Operations, p.78, Problem 22.This visualiser contains all the AB = -BA, A and B are 2x2 matrix with the... Platforms: Matlab

Performs hierarchical clustering of data using specified method andseraches for optimal cutoff empoying VIF criterion suggested in "Okada Y. et al - Detection of Cluster Boundary in Microarray Data by Reference to MIPS Functional Catalogue Database (2001)".Namely, it searches cutoff where groups... Platforms: Matlab

A simple and fast algorithm for generating doubly-stochasstic matrices.(matrices, where the sum of each column and each row is exactly 1).Each matrix is chosen uniformly from the space of all NxN doubly-stochassticmatrices.Note: the generated matrices are indeed doubly-stochastic, but it's... Platforms: Matlab

At the moment, the Normal Inverse Gaussian (NIG) distribution is not included in the statistics toolbox. This collection of m-files supplements this toolbox with the most important functionalities for the NIG distribution: random numbers, moments, cdf, pdf and parameters by moment fit. This... Platforms: Matlab

At the moment, the normal inverse Gaussian distribution is not included in the statistics toolbox. This collection of m-files supplements this toolbox with the most important functionalities for the NIG distribution: random numbers, moments, cdf, pdf and parameters by moment fit. Platforms: Matlab

In this archive there are just some simple functions about matrices, expecially to be used with the program perteig.m called "Trajectories of eigenvalues" you can find among the file by the same author in the file exchange.-impdataimpdata.mscripts that imports the matrices A and B written in the... Platforms: Matlab

The Fourier transform takes a signal in the time domain and maps it, without loss of information, into the frequency domain. The frequency domain representation is exactly the same signal, in a different form. The inverse Fourier transform(IDFT) maps the signal back from the frequency domain into... Platforms: Matlab

Used to perform B*M or M*B with B a block diagonal matrix, B is stored as a cell array (call it C) with each element a matrix as a block of B, such that B = blkdiag(C{:}).This speeds up the multiplication when B is large and also allows the operation to take place when B could not fit in the... Platforms: Matlab

Note that this function do not return EIGEN VECTORS.This function is faster than looping on EIG when eigenvalues must be computed for a large number of matrices. The test shows it can speed up by 10 times Platforms: Matlab

Uses x,y coordinates to produce distance-based spatial weight matrices useful for spatial econometric regressions. The user is asked to input x and y coordinates, as well as a lower and upper bound threshold for the neighborhood.The code is adapted from a previous version by Shawn Bucholtz of the... Platforms: Matlab

You can follow the examples given in the codes, to construct your 2-Dfuction in 2-D Laplace transform domain, insert it into the place of our examples, then you can get the inverse 2-D Laplace transform of your function. Platforms: Matlab

Allows compact representation of block-circulant matrices and fast operations (*,,pinv,etc).Circulant matrices arise in many matrix problems where the underlying mathematical model has rotational symmetry. In many problems, the problem representation is not a simple circulant matrix, but a... Platforms: Matlab