VintaSoft Barcode .NET SDK is the professional .NET barcode reader and barcode generator component for software developer. It recognizes and writes 1D & 2D barcodes in digital images and PDF. The Barcode SDK is delivered also for WPF and ASP.NET MVC environments.
The barcode reader algorithm recognizes barcodes from image object, image file, image stream or image resources of PDF document, identifies the type of found barcode,...
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Customization are welcome...
Open-source Java libraries, supporting generalized smart arrays and matrices with elements of any types (1 bit, 8/16/32/64-bit integers, 32/64-bit floating point values and any other Java types). The libraries contain a wide set of 2D-, 3D- and...
this code will require the user to specify the size of the H matrix wanted to be generated.
Given adjacent matrix (transmat) and starting/ending node (pathS, pathE), this function finds the shortest-path (path) that connecting pathS and pathE, and returns the cost (cost):
[path, cost]=dijkstra(pathS, pathE, transmat);
Expedite the computationally intensive part of the mechanical analysis stage of a coupled electro-mechanical FEA of an electrostatically actuated micro-electro-mechanical (MEMS) device by using d-deDUparford-deDt to: 1. Compute Element...
Revised public version of covariance matrix tools. (see attached Contents file).
It calculates the Inverse Kinematic of an Anthropomorphic arm with 3 DOF. 'q' is the solutions in radiant and K is the direct Kinematic matrix.
K = [ n s a p; 0 0 0 1] where n, s, a are three vectors fo 3 elements...
This m-file performs the Bowker's test for symmetry. It is an extension of the McNemar test to a KxK situation. There are now K response categories for the two dependent samples.
The null hypothesis is that the probabilities in the...
In this program RGB image is converted to L*a*b color space.Green & purple mode of this color space are chosen & then convert them into binary.AND operation is performed on the images so a matrix is obtained having 1 & 0.One(1)...
Return covariance matrix for given data matrix X (row = object, column = feature) % @author: Kardi Teknomo % http://people.revoledu.com/kardi/index.html See the usage for Mahalanobis distance computation in...
ICONEDITOR create and edit icons or mouse cursors in either standard or custom sizes
usage: iconeditor(x,y,pixel) x - horizontal size (16 as deault) y - horizontal size (16 as deault) pixel - size of each dot (13...
we can use any complete set of Eigenkets for basis of our hilbert space we can use |j1,j2,m1,m2> or |j1,j2,j,M> "clmatrix.m is use for building the transformation Matrix |j1,j2,j,M> = <m1,m2,j1,j2|j1,j2,j,M>...
[Jaccard,Dice,rfp,rfn]=sevaluate(m,o) gets label matrix for one tissue in segmented and ground truth and returns the similarity indices m is a tissue in gold truth o is the same tissue in segmented image rfp false pasitive...
We have a data set data={x_1,x_2,x_3,...,x_N} and want to construct the delay vectors X(n)=(x_n,x_n-delta,x_n-2*delta,...,x_n-(embed_dimen-1)*delta).
The program takes:
INPUTS: data = this is a vector with data from a...
rand_extended computes a random number in the interval [a,b] It is basically an extended version of the command rand Inputs: a: the lower bound of the interval b: the upper bound of the interval m,n(optional):...
IMCLIPBOARD behaves very much like MATLAB's "CLIPBOARD" function, but it works on image data. You can paste image data from the clipboard to a MATLAB array, and copy MATLAB image data to the clipboard.
From HELP:
1. Detailed Tutorial on Kalman Filtering Techniques in Matlab
2.Computes the Kalman gain and the stationary covariance matrix using the Kalman filter of a linear forward looking model.
http://simulations.narod.ru/ Using: ind=all_combinations(n,k) Number of all posible variants is nv=C(n,k)=n!/(k!*(n-k)!) (binomial coefficient) ind is nv-by-k matrix. Example, 2 indexes from 1 2 3: all_combinations(3,2)
Comparision of simple linear regression equations without data. As well as the before file arsos.m this procedure is suffice to test the homogeneity of k regression coefficients (Ho: b1 = b2 =...= bk). It do not needs to input data, but the sample... |