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Raw MRI data are generated analytically from k-space coordinates using the (continuous) Shepp and Logan head phantom function. K -space coordinates are typically entered as 2D matrices (frequency and phase encodes).

This tool is ideal for testing reconstruction of non-linear k-space trajectory MRI data such as projection reconstruction (PR) and spiral PR MRI.

The default k-space trajectory is a simple Carthesian...



The Mathieu functions are used to solve analytically some problems in elliptical cylinder coordinates. The computational toolbox includes routines for the characteristic values, the expansion coefficients, and the four categories of angular and...



Pretty Damn Quick (PDQ) analytically solves queueing network models of computer and manufacturing systems, data networks, etc., written in conventional programming languages. Generic or customized reports of predicted performance measures are output.



MATLAB in Physics is four lecture series in MATLAB that is offered to first year physics undergraduate students.

The aim of this lecture series is to introduce students to computational methods in MATLAB to solve problems arising in...



MATLAB in Physics is a four lecture series in MATLAB that is offered to first year physics undergraduate students.

This lecture shows how to use MATLAB to fit experimental data such as that obtained in undergraduate physics experiments....



Stagewise operation with two different recycle types are considered. The five stages extraction cascade is solved using Simulink. A tank holding the solvent is connected to the extraction cascade. This solvent container is either a perfectly mixed...



c
This lecture investigates the underlying linear algebra that forms the basis of MATLAB.

Aly Kassam is the author of this lecture, it is being submitted under Matt McDonnell's name solely to fit it in with the rest of the...



voronoiSkel uses only the pixel on the boundary of the objects, and therefore is very efficient for thick objects (efficiency scales with the object's radius, rather than its area). However, it might be sensitive to small defects, if they are on...



RanLip uses acceptance/rejection approach to generate random vectors, which is based on approximation of the probability density function from above with a "hat" function. It is assumed that the distribution has
Lipschitz-continuous...



In this document, the problem of OFDMA multi-user resource allocation based on MMSE channel
estimation is considered. Maximization of system capacity, based on available error-free instantaneous
estimated channel state information at the...



2D FDTD simulation of light in a waveguide splitter/combiner
Written for Course :-
Computational Electromagnetics, Fall 2011
Department of Electrical Engineering
Indian Institute of Technology Madras (IITM)
Chennai -...



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...



The built-in legendre() calculates the Legendre polynomials calculated ALL the orders for a given degree. If you only need a given order, this is a waste of memory and computing time (especially for large blocks of data). The function...



MATLAB in Physics is a four lecture series in MATLAB that is offered to first year physics undergraduate students.

This lecture shows how to use MATLAB to simulate physical systems using a range of methods. Projectile motion is...



This program calculates and plots the photonic bands for a 2D photonic crystal consisting of cylinders with circular cross-section and infinite height, arranged in a triangular lattice; we consider in-plane propagation and two independent...



This software has been realized at the CNS Technology Lab at Boston University - http://techlab.bu.edu. The main author of this software is Chaitanya Sai ( http://techlab.bu.edu/members/sai/ ).

CONFIGR (CONtour FIgure GRound) is a...



Solves nonlinear diffusion equation which can be linearised as shown for the general nonlinear diffusion equation in Richtmyer & Morton [1]. The approach is to linearise the pde and apply a Crank-Nicolson implicit finite difference scheme to...



consider a 2D photonic crystal consisting of cylinders with circular cross-section and infinite height, arranged in a triangular lattice;
this program calculates and plots the spatial distributions in the unit cell (E&H) of eigenmodes...



ORTHLLS2D returns the Orthogonal Linear Least Squares estimate for parameters of line a x + b y + c = 0

function f = OrthLLS2D(x, y)

Inputs x and y must be real vectors of equal size.
Output f is the real vector [a b c]...



------------------------------------------------------------
PURPOSE: Performs log-linearisation.
------------------------------------------------------------
SYNTAX: result = LogLin( VarEndoNames, VarExoNames, Parameters,...