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,...
It is application of of Simulink Block to Cardiac PDE VI1 system of 2 non linear coupled equations of PDE and try to design solution with dicretized space and time and issue in 1D.I associate a Doc file to introduction theory.Just see this page...
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.
Designed for a course at the freshman or sophomore level, this book emphasizes the computational and geometrical aspects of linear algebra.
I publish my ebook visible 20 % at google books about modeling the cardiac excitation propagation of modele PDE VI1.In mounths coming i will publish the matlab computing with the method of linear ODe dynamic system of PDE equation.
This e-book is based on the Student Edition of MATLAB 7, which includes a symbolic toolbox. The Professional Edition may of course also be used. The goal is to exploit a restricted subset of MATLAB commands and functions to explore most of the...
This file computes a balanced incomplete block design [BIBD] analysis of variance. A BIBD is a set X of v >= 2 elements called treatments and a collection of b > 0 subsets of X, called blocks, such that the following conditions are...
USERCOLORMAP(COLOR1,COLOR2,COLOR3,...) creates a colormap with colors specified by 1x3 vectors (COLOR1, COLOR2, COLOR3...). When the number of input colors are three for example, the function linearly interpolates every column of a 3x3...
A time-frequency representation which uses a signal-dependent, radially Gaussian kernel that adapts over time. The code provides an excellent ambiguity domain filter for time-frequency analysis.
Just run the script main_AOK.m to see it...
Colormap is based on the colors used by W. F. Haxby's Gravity field of World's oceans, 1985, developed for geoid and gravity maps. The version used here is formed from a linear interpolation of the GMT color table used by MB-System by David W....
SC is a useful function for displaying rich image data, of use to anyone wishing to visualize and save 2D data in ways beyond that which MATLAB built-in functions allow.
This function can be used in place of IMAGE, IMAGESC and IMSHOW,...
extcsv should make csv-like data feel like database tables with flexible selection and combination methods. Two separate modules provides plotting (with gnuplot) and data modelling (Least Square Method, linear with respect to the model coefficients)
We here both use the inbuilt command for determining linear conv. as well as user defined method to do the same. Plots are also given for comparison between two methods.
used to find linear convolution
This paper presents the empirical modeling of the gaseous pilot plant which is a kind of interacting series process with presence of non linearities. In this study, the discrete-time identification approach based on subspace method with...
This file implement Gauss Siedel Iterative Method on MATLAB Gauss Siedel Iterative Method is a technique of Numerical Computation of finding roots of Linear equations.
The five programs provided solve several process design problems. These examples were originally provided as applications of process design optimization by Edgar, Himmelblau and Lasdon in their excellent book entitled Optimization of Chemical...
THIS FUNCTION PROVIDES A USER A UTILITY TO PLOT THE BEAMPATTERN OF LINEAR ISOTROPIC ARRAYS BY PROVIDING THE INTER-ELEMENT DISTANCES,CORRESPONDING WEIGHTINGS AND/OR STERING DIRECTION OF THE BEAM.
Introduction to Stochastic Search and Optimization is an overview of the principles, algorithms, and practical aspects of stochastic optimization, including applications drawn from engineering, statistics, and computer science. The book may serve...
The conjugate gradient method aims to solve a system of linear equations, Ax=b, where A is symmetric, without calculation of the inverse of A. It only requires a very small amount of membory, hence is particularly suitable for large scale... |