Implements the behaviours of the Decomposition Class. Provides methods for calculating matrix decomposition. usage:var inst:Decomposition = new Decomposition(max);
Platforms: Windows, Mac, Flash,
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The Empirical Mode Decomposition is a technique to decompose a given signal into a set of elemental signals called Intrinsic Mode Functions. The Empirical Mode Decomposition is the base of the so-called d-deDUHilbert-Huang Transformd-deDt that comprises also a Hilbert Spectral Analysis and an...
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Graph::ModularDecomposition is a Perl module for modular decomposition of directed graphs. SYNOPSIS use Graph::ModularDecomposition qw(pairstring_to_graph tree_to_string); my $g = new Graph::ModularDecomposition; my $h = $g->pairstring_to_graph( ab,ac,bc ); print "yesn" if...
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GUI for univariate time series modeling and decomposition based on Pandit and Wu (1983)
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This is the 2-D Fast DOST Decomposition. The computational complexity is O(NlnN)
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Split the signal S(SPACE,TIME) into its downward/upward space propagating and stationnary components via a 2D Fourier decomposition. S is a (SPACE,TIME) matrix. We eventually proceed to a space and/or time filtering. DT,DX are temporal and space step. PERIOD=[Tmin Tmax] and WAVELENGTH=[Xmin Xmax]...
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This scrip determines the column vector 'x', given the LU decomposition of matrix 'A'.It performs the forward substitution, finding 'y=L*z', then, by backward substitution: 'z=U*x', determines the values of 'x'.
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The solution of the nearest correlation matrix applies the hypershpere or spectral decomposition methods as outlined in Monte Carlo methods in Finance by Peter Jackel, Chapter 6.Use CorrelationExample.m that applies a simple example for the two cases.
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Matrix decomposition using, e.g. the Cholesky decomposition requires the correlation matrix to be positive definite. That is, the eigenvalues must all be positive. In finance, this is rarely the case, and one often observes negative eigenvalues, or zero eigenvalues. These two functions do...
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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
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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...
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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.
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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...
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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...
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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...
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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...
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The function is called upon as follows:a = bemd(im1);im1 -> Imagea(:,:,1) => IMF 1a(:,:,2) => IMF 2a(:,:,3) => IMF 3a(:,:,4) => Residu
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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...
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This code was written to deal with "Zernike polynomials" code graciously donated by Paul Fricker via file exchange.Here you will find a practical example of a function decomposition byZernike basis.The function is F below, feel free to modifyUnlike Paul's example found in 'zernfun2.m' here the...
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The FWR Toolbox is a MATLAB toolbox used to analysis the Finite Word Length edÂ¬TCdeects of linear time-invariant digital filters/controllers implementations.When digital dÂ¬TCdalter/controller are implemented in computing machines (micro-controller, DSP, FPGA, etc.) with dÂ¬TCdanite...
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