Computed

We compare computed temperature distributions using both pdepe and analytical solutions for different geometries (slab, cylinder and sphere). Solids are kept initially at uniform temperature. For t>0, the boundary surface is kept at constant temperature. Results show excellent agreement.... Platforms: Matlab

Purpose of this program is studying a not standard section subject to torsional stress. Not standard means the section is not included in engineering Handbooks. It can be studied with FEM analysis with commercial softwares, but sometimes this can become very rough.Fortunatly Prandtl theory of... Platforms: Matlab

The Triangle method is due to Zack (Zack GW, Rogers WE, Latt SA (1977), "Automatic measurement of sister chromatid exchange frequency", J. Histochem. Cytochem. 25 (7): 741d-deOCt53. A line is constructed between the maximum of the histogram at b on the gray level axis and the lowest (or highest... Platforms: Matlab

Usage:H = paleyI(N);N: order of the Hadamard matrix to be computed (integer)H: returns the computed Hadamard matrix or returns 0 if an error occurred (invalid matrix order or incorrect H-matrix)H-matrices of Paley type I are defined for orders N = 4m = p+1 (m=1,2,3,...), where p is a prime with... Platforms: Matlab

Function WINSOR inputs data vector x and 2*1 vector of cut-off percentiles p, and replaces non-NaN values of x that are below percentile p(1) with the smallest remaining value, and x-values above percentile p(2) with the largest remaining value. Percentiles are computed with PRCTILE of Statistics... Platforms: Matlab

Brightness Preserving Dynamic Fuzzy Histogram Equalization(BPDFHE) proposes a novel modification of the brightness preserving dynamic histogram equalization technique to improve its brightness preserving and contrast enhancement abilities while reducing its computational complexity. This... Platforms: Matlab

This submission is an example showing how a Level 2 M-file S-function can be used to help debugging models and vizualize the values computed by the SimulinkdlT« solver at minor time steps.This submission contains a Level-2 M-file S-function that logs the minor time step data of a signal into... Platforms: Matlab

These files allow for the simulation of hybrid systems in Matlab/Simulink. This version includes examples of individual and interconnected hybrid systems where multiple hybrid systems are connected and interact. Also included is a "lite simulator" which allows for faster simulation. The Simulink... Platforms: Matlab

Pretty fast code for zeros of Bessel functions of 1st and 2nd kindand for zeros of the derivatives. The Newton-Raphson method is usedwith the initial guess predicted from previously computed zeros. 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

Theodoros Giannakopouloshttp:/www.di.uoa.gr/~tyiannak---------------------------------------Feature extraction (as in most pattern recognition problems) is maybe the most important step in audio classification tasks. The provided Matlab code computes some of the basic audio features for groups of... Platforms: Matlab

% Reliable and extremely fast kernel density estimator for one-dimensional data;% Gaussian kernel is assumed and the bandwidth is chosen automatically;% Unlike many other implementations, this one is immune to problems% caused by multimodal densities with widely separated modes (see example).... Platforms: Matlab

The purpose of Discriminant Analysis Programme (DAP) is to facilitate discrimination and classification of (to be) grouped data with robust estimation- and modeled structures for the covariances in a one-go software. The robust estimation methods are the S-estimator and Donoho-Stahel estimator.... Platforms: Matlab

Carries out Gaussian smoothing followed by differencing as a way of estimating the gradients of a grey-level image in the X and Y directions. This is the initial stage of the well-known Canny edge detector, but the gradients can be used for many other applications.The function offers independent... Platforms: Matlab

In this document, the problem of OFDMA multi-user resource allocation based on MMSE channelestimation is considered. Maximization of system capacity, based on available error-free instantaneousestimated channel state information at the transmitter, is the goal. Optimal power distribution... Platforms: Matlab

This function will summarize a 1-D vector of data (i.e. 1 column) based on what the user specifies as the statistic (e.g. mean, sum, etc.). It uses no loops, so it is extremely fast. However, it will use up memory as a result. I've included memory checks such that if you do not have enough... Platforms: Matlab

The MATLAB script file M_polyroots.m is to compute all the roots with multiplicities of any given polynomials. Let a given polynomial p(x) be expressed as p(x) = x^9 +7x^8 +12x^7 -12x^6 -42x^5 -6x^4 +44x^3 +20x^2 -15x -9 = (x +3)^2 * (x +1)^4 * (x -1)^3 = (x^2 +2x -3)^2 * (x +1)^3 * (x^2 -1)It... Platforms: Matlab

For a given function as a string, lower and upper bounds, number of iterations and tolerance Bisection Method is computed. Platforms: Matlab

The gaussian filter used in image processing for noise filtering.the second derivate of the filter used in image processing operator LOG laplacian of gaussian this is second derivate of gaussina this used for edge detection and also smoothing the image so reducing effect of noise. the derivate... Platforms: Matlab

This function performs kernel version of kmeans algorithm. When the linear kernel (i.e., inner product) is used, the algorithm is equivalent to standard kmeans algorithm.InputK: n x n a semi-definite matrix computed by a kernel function on all sample pairsm: the number of clusters k (1 x 1) or... Platforms: Matlab