Pipe Joint

eTicket is a PHP-based electronic (open source) support ticket system based on osTicket, that can receive tickets via email (pop3/pipe) or a web form. It also offers a ticket manager with many features. An ideal helpdesk solution for any website. Main Features: - Supports aliases/piping with perl...

Read and write CSV files with a single line of code. The library handles double quotes, embedded commas, escaped commas, and columns that span multiple lines. It can read CSV from files, streams, or strings into lists, dictionaries, lists of objects, and data tables. It can write CSV from lists...

Nonlinearity detection scheme based on zeroing the initial time response over various intervals and computing the FFT of each, as described in: M. S. Allen and R. L. Mayes, "Estimating the Degree of Nonlinearity in Transient Responses with Zeroed Early-Time Fast Fourier Transforms," in...


Platforms: Matlab

Usage: I=mi(A,B), where A and B are equally sized images/signals.Function hist2 (included) is used to determine the joint histogram of the images/signals. All histograms use 256 bins.Assumptions: 1) 0*log(0)=0, 2) mutual information is obtained on the intersection between the supports of partial...


Platforms: Matlab

Professor Jim Wilkes provides representative values of the volumetric flow rate versus the applied pressure gradient for horizontal flow in a pipe [1]. The pipe radius is equal to 0.01 m. We use these representative values, in conjunction with the analytical expression of the volumetric flow...


Platforms: Matlab

This heat exchanger exists of a pipe with a cold fluid that is heated up by means of a convective heat transfer from a hot condensate.


Platforms: Matlab

GMM-GMR is a set of Matlab functions to train a Gaussian Mixture Model (GMM) and retrieve generalized data through Gaussian Mixture Regression (GMR). It allows to encode efficiently any dataset in Gaussian Mixture Model (GMM) through the use of an Expectation-Maximization (EM) iterative learning...


Platforms: Matlab

This function which is based on the bilateral filter provided Douglas R. Lanman, Brown University, September 2006, will compute the weights based on one image to be used as bilateral filter weights on another image.


Platforms: Matlab

Graphical user interface driven first-order multivariate calibration using up-to-date methods, including PCR, PLS, net analyte methods and ortoghonal signal correction. Provides a variety of pre-processing tools, cross-validation plots, prediction plots, elliptical joint region plots, net analyte...


Platforms: Matlab

This m file(predictle.m) calculates leading indicator predictions for Discrete Tranfer Function noise models used in the Identification TB. It is used in the same manner as predict.m found in the Identification TB. Predict.m uses the *actual* values of the input variable (u), but this file uses...


Platforms: Matlab

Depth image based rendering is a promising mechanism of 3D video representation. Misalignment of depth maps with their corresponding color image is a common problem in depth estimation techniques. This program is a basic code that implements a Joint Bilateral filter to align color images with the...


Platforms: Matlab

We present here a program Fie that solves numerically Fredholm integral equations of the second kind on an interval [a,b] to a specified, modest accuracy. Test programs are also included for the various cases. The program TestAll, with no input parameters, can be used to illustrate the various...


Platforms: Matlab

QuIRK is an interactive Matlab command line interface for constructing systems of rigid bodies and joint constraints, solving the equations of motion of those systems when subject to various force expressions, displaying and animating solved systems, and extracting information about the state...


Platforms: Matlab

- Simulates MRI data according to the forward model in the presence of field inhomogeneity- Map MRI data to the harmonic retrieval data- Solve harmonic retrieval problem to obtain the estimates for the image, field map, and T2* map- Display output and compute the corresponding errors compared to...


Platforms: Matlab

Calculate windowed mutual information between two signals up to a pre-defined lag. The estimation of the (joint) probabilities is optimized, hence, entire computation is very fast.


Platforms: Matlab

This m-file is used in experiments involving several factors where it is necessary to investigate the joint effects (main and interactions) of the factors on a response variable and determine by a formal analysis of variance which factor effects are nonzero. Each of the three factors (k = 3) of...


Platforms: Matlab

This m-file returns the multinomial probability density function value with parameters N and P at the values in X. Note that the density function is zero unless X is an integer.Let {X1, X2, . . . , Xk}, k > 1, be a set of random variables, each of which can take the values 0, 1, . . . , n....


Platforms: Matlab

This Toolbox is a collection of files that I have written for my own use. This updates a previous version of the Toolbox and is now compatible with Matlab R13. It provides examples/routines for:1) Parameter Estimation in ODE's-example2) Response surface regression and optimization3) Nonlinear...


Platforms: Matlab

Constrained and Unconstrained, Analysis and Synthesis Prior Solvers for Jointly sparse Multiple Measurement Vectors.Sparco is required for running the Matlab files. Download it from http://www.cs.ubc.ca/labs/scl/sparco/ ans install it in Matlab path.


Platforms: Matlab

This zip contains functions that allow- to draw random samples from any arbitrary bivariate Gamma distribution, with Gamma distributed marginals. The user should specify the shape and scale parameters of the marginals, as well as the linear correlation coefficient.The algorithm is based on...


Platforms: Matlab