Decomposition

Using the Cholesky decomposition, it generates n iterations of multivariate Gaussian random variables for a given mean vector (mu) and variance-covariance matrix (sigma).mvgrnd(mu,sigma,n) Platforms: Matlab

Refer to the following papers for a description. Also note that you can play around with the parameters to optimize the performance, if it is not good enough on your dataset, thought it should be.[1] R. N. Khushaba, S. Kodagoa, Dikai Liu, and G. Dissanayake, "Electromyogram (EMG) based Fingers... Platforms: Matlab

A colour (RGB or 3-channel) image may be converted to a quaternion matrix by placing the three colour components into the three quaternionic imaginary parts, leaving the real part zero. The quaternionic singular value decomposition is a technique to decompose the quaternion matrix (representation... Platforms: Matlab

Matrix calculator for basic matrix operations and matrix decompositions. 1. Basic matrix operations: +, -, .*, *, ', determinant, inverse, rank etc. 2. Matrix decompositions: LU decomposition, QR decomposition. Implement basic matrix operations and matrix decompositions. 1. Basic matrix... Platforms: Windows

zkcm library is a C++ library for multi-precision complex-number matrix calculations. It provides several functionalities including singular value decomposition, tensor product calculation, and tracing-out operations. Platforms: Mac

A set of interactive charting components for Embarcadero Delphi, that can extended your applications with decomposition bar charts, budget status indicators, KPI status tables, comparison tables and similar presentations. Components are designed as a lightweight alternative to universal grids... Platforms: Windows

Simple order fulfillment system with flexible order decomposition and domain specific programming language for describing decomposition scenarios. Most suitable for Mobile Communications operators who are using Oracle BPEL and AIA technology. Platforms: Windows, Mac, Linux

A computer algebra package for hierarchical compositions and decompositions of permutation groups and transformation semigroups, with special emphasis on the explicit representation of the connection network, implemented in GAP www.gap-system.org. Platforms: Mac, BSD, Linux

In this programe a highly scattered enviroment is considered. The Capacity of a MIMO channel with nt transmit antenna and nr recieve antenna is analyzed. The power in parallel channel (after SVD decomposition) is distributed as water-filling algorithmThe pdf of the matrix "lanada" ( V in SVD... Platforms: Matlab

LDPC codes BER simulation under AWGN channel. MacKay-Neal based LDPC matrix. Message encoding uses sparse LU decomposition. There are 4 choices of decoder: hard-decision/bit-flip decoder, probability-domain SPA decoder, log-domain SPA decoder, and simplified log-domain SPA decoder. Platforms: Matlab

toobox_signal - signal processing related functions.This toolbox contains functions related to image processing, including* images loading and generation.* filtering and blurring functions.* anisotropic and spacially variant filters.* non-linear filtering (median, LIC, bilateral).* High Dynamic... Platforms: Matlab

This function searches the interior of a signal in an attempt to find a segment that may be used in order to make the signal quasi-periodic. This can be used to reduce the influence of end effects on analyses such as the Hilbert Transform, the Wavelet Transform, the Hilbert-Huang Transform and... Platforms: Matlab

I started with Adam Wyatt's FROG program (on this website) but added to it and edited it beyond recognition. I did, however, subtract one useful feature: This program, as written, is SHG-FROG and GRENOUILLE only!! (Adam Wyatt's program was more general.)--> The program "prepFROG" takes a raw... Platforms: Matlab

LU Decomposition is applied to a sparse banded matrix. We show how fill-ins can make solution by elimination not manageable. The same matrix is used to solve the Poiseuille flow problem in a rectangular channel using the finite differences approach. The result obtained using this numerical... Platforms: Matlab

B3MSV Bidirectional Branch and Bound(B3) subset selection using the the Minimum Singular Value (MSV) as the criterion.Consider the following subset selection problem:Given a tall (m x n, m>n) matrix, A, to find n rows of A such that the resulted n x n square submatrix has the largest MSV among... Platforms: Matlab

Finds the weighting coefficients of the linear combination of a set of Legendre polynomials up to order N.Three methods are available (actually just for fun): 'inv' (default) inverts the normal equation matrix directly, while 'chol' and 'qr' find the solution via Cholesky and QR decomposition,... Platforms: Matlab

The FWR Toolbox is a MATLAB toolbox used to analysis the Finite Word Length ed¬TCdeects of linear time-invariant digital filters/controllers implementations.When digital d¬TCdalter/controller are implemented in computing machines (micro-controller, DSP, FPGA, etc.) with d¬TCdanite... Platforms: Matlab

MEDIAN_POLISH(X) fits an additive model to a 2D input matrix, X, assuming a decomposition of (constant + rows + columns).Median polishing is useful for removing spatial trends in the data by alternately removing medians from the rows and columns of the data. The algorithm proceeds as follows.... Platforms: Matlab

This program outputs a graphical & numerical image quality measure based on Singular Value Decomposition. For the given images, Blockwise SVD is taken and image quality measure is derived. For details on the implementation, please refer Aleksandr Shnayderman, Alexander Gusev, and Ahmet M.... Platforms: Matlab

finds null space and range of a sparse matrix using lu decomposition.This routine is devoted to find null space of possibly large matrix fast.Results may be inaccurate if zero and nonzero singular values are not well separated. Platforms: Matlab