31,045 results

This function plots 3D symmetric positive definite matrices as a field of Gaussian ellipsoids.

The plotDTI function plots a single tensor, a row of tensors, or a 2D field of tensors as Gaussian ellipsoids. The tensors must be given as 3x3 symmetric positive definite matrices.

Toolbox diffc

Version 1.2.0.0

by Gabriel Peyre

A toolbox to perform differential calculus on a matrix.

Plots a field of any even-order Positive-Definite Tensors as spherical functions.

This function plots a 2D field of 3D even-order tensors as spherical functions. The 3D tensors must be given as a list of the unique tensor coefficients. The field can contain either a single tensor

FiberQ

Version 1.0.0

by pierre ghesquiere

Automatic quantification of dna fibers from fluorescent images

Investigating 2D stress field via principal stress lines, stress field visualization

# StressField2D_Investigator_exportedSuccessfully tested on Matlab R2019a and subsequent versions# Functionality:Principal stress lines (PSLs) based 2D stress field investigation.The program allows

An algorithm implementing the Fourier transform of Maxwell’s equations in tensor form

# Method:This algorithm implements the Fourier transform of Maxwell’s equations in tensor form, allowing for the forward calculation of induced field from a cylinder of known susceptibility in 3D.In

Implementation of the 2D medioni tensor framework

bugs.NOTE:* Line 70 in create_stick_tensorfield is not part of Medioini's description of the tensor stick field, however it was added to make the tensor field the same as the diagrams in Medioni's text. To

A library for DW-MRI Processing, DTI & DKI Estimation, Higher-Order Tensor analysis & Visualization.

A Matlab library for Diffusion Weighted MRI (DW-MRI) Processing, Diffusion Tensor (DTI) Estimation, Diffusion Kurtosis (DKI) Estimation, Higher-order Diffusion Tensor Analysis, Tensor ODF estimation

smoothn

Version 2.3

by Damien Garcia

SMOOTHN allows automatized and robust smoothing in arbitrary dimension w/wo missing values

multicomponent noisy array (e.g. time series, images, 3D data, 3D vector fields, tensors...). To smooth a vector field or multi-component data, Y must be a cell array. For example, if you need to smooth a 3-D

Diffusion MRI (DTI), calculates FA, ADC, Vector Field, and will track and visualize neural tracts.

Straightforward Diffusion MRI (DTI) and Fiber Tracking (FT) functions and examples.DTI.m, will calculate the Apparent Diffusion Coefficient(ADC), fractional anistropy (FA), and diffusion tensor field

For multiple 3x3 real symmetric matrices, vectorized matrix operations, support GPU computation

, stress/tensile strength computation on tensor fields, three dimensional diffusion processes, determining the rotation axes of a motion field, etc....Syntax: [eigenvalue1,eigenvalue2,eigenvalue3] =

Satellite Gravity Field Missions: Simulation Scenarios

velocities, accelerations, and for GOCE the tensor components for specified gravity fields and reference frame specifications. The simulation scenarios are simplified in so far as there is no noise on the data

B-spline registration of two 2D / 3D images or corrsp. points, affine and with smooth b-spline grid.

, Linux (and Mac OS?)Some Features:- 2-D / 3-D Eulerian strain tensor images can be made from the transformations fields. For example to describe cardiac motion in the images.- Landmarks can be used for

A function to explain a stereo-like taxonomy to be used in light field depth estimation

measurement;angular information;cost tensor;depth map estimation;lens;light fields;optimization algorithm;single camera;spatial information;stereo depth-map algorithms;stereo-like taxonomy;support weight

This package implements isotropic nonlinear scalar valued/ coupled vector/matrix valued diffusion.

The code supports homogeneous and linear and nonlinear (Total Variation and Edge Enhancing flow) isotropic diffusion of arbitrary dimensioned fields(scalar~grayscale image, vector ~ color image and

Denoises Diffusion Weighted MRI volumes corrupted with stationary Rician noise

MRI data. It WILL NOT work with already reconstructed diffusion tensor volumes either). Use this m-file to denoise your DW-MRI data BEFORE estimating your diffusion tensor volume or your field of

GMGS-3D

Version 1.0

by junpeng wang

A Geometric Multigrid Solver for Large-scale Static Finite Element Simulation on 3D Cartesian Mesh

# TargetOut of academic use, "GMGS-3D" is designed to generate the high-resolution data sets of vector (displacement) or 2nd-order tensor (stress) field with the NORMAL PC within an AFFORDABLE time

convert between the various ways arrays can be stored in structures (Structure array)

you can store n-dimensional arrays (aka tensors, multidimensional arrays, or nd-array) of cells or numerical types in structures (Structure array).- ***(A)*** structure with an nd-array in each field

TPROD -- efficiently allows any type of tensor product between 2 multi-dimensional arrays

tprodMatlab library for simple tensor operations using Einstein summation convention semanticsThis function computes a generalized multi-dimensional matrix product based upon the einstein summation

Optimally Oriented Flux curvilinear structure descriptor

computation of OOF. (N-D vector) opts: A matlab struct. It contains 4 fields to specify 4 optional settings of OOF. If opts or any of these fields of opts is missing, default values are used. (Optional, struct

MaxPol is a numerical differentiation toolbox for signal and image processing

polynomial accuracy(5) 2D Derivative Kernels with Steering moments(6) Intuitive examples in Signal and Image processingWhich disciplinary fields can use this package? MaxPol package provides comprehensive

Install the MinGW-w64 C/C++ compiler for Windows

Explores published asteroid shape models and computes asteroid inertial moments and gravitational fields assuming constant density.

convexhull, boundary, and alphashape to find the surface area and volume, writes an stl file useful for 3d-printing, voxelizes the interior of an asteroid mesh, and computes the inertial tensor and

This is complete Matlab toolbox (including multi-threaded C/C++-mex code) for diffusion MRI processing.

classical Diffusion Tensor Imaging (DTI) formalism with linear and non-linear signal fitting.High Angular Resolution Diffusion Imaging (HARDI):- Spherical Harmonics (SH).- Orientation Probability Density

Alphanumeric row sort of a cell/string/categorical/table array, with customizable number format.

Alphanumeric sort of a cell/string/categorical array, with customizable number format.

Learning the Finite Volume Method in CFD with MATLAB Programming

Field-Oriented Control of Permanent Magnet Synchronous Motor Using NXP™ S32K144 Development kit

fRMField

Version 1.0.0.0

by Jan

Remove a field from a struct efficiently - fast C-Mex

fRMField: Remove field(s) from a struct - fast C-MEXThis function is about 5 to 10 times faster than RMFIELD of Matlab 2009a.T = fRMField(S, Name)INPUT: S: Struct or struct array. Name: String

Toolbox image

Version 1.2.0.0

by Gabriel Peyre

A toolbox that contains image processing functions

Toolbox signal

Version 1.2.0.0

by Gabriel Peyre

Signal processing related functions.

Alphanumeric sort of filenames or filepaths, with customizable number format.

Calculates the n-mode product between a tensor and a matrix.

according to the definition of De Lathauwer and as referenced by many papers.B = A (x)_n U((x)_n: is the multiplication operator, see screenshot!)where: A: tensor of R^( I_1 × I_2 × .. I_n × ..

Loads a mat file into the caller's workspace, fixing invalid variable and field names.

not a letter, an 'A' is added to the front. If the variable is a structure, fixes the field names also. In the case of field names, the name length is kept constant. So if a field name begins with a

Creates an N-dimensional sparse array object, for arbitrary N.

Tensor-Based Channel Estimation for Dual-Polarized Massive MIMO Systems

This is a demo for our paper:C. Qian, X. Fu, N. D. Sidiropoulos and Y. Yang, "Tensor-Based Channel Estimation for Dual-Polarized Massive MIMO Systems," in IEEE Transactions on Signal Processing.doi

This function checks if a field is empty/non-existent without needing its parent fields to exist

tf = isempty_field(S,fname)This function checks whether a field is empty/non-existent. It is particularly useful when we want to check whether adeeply nested field is empty, but are unsure if the

A set of tools for working with light field (aka plenoptic) imagery in Matlab

Get the new toolbox here: https://au.mathworks.com/matlabcentral/fileexchange/75250-light-field-toolboxThis is a set of tools for working with light field (aka plenoptic) imagery in Matlab. Features

A three-variate spatially correlated turbulent wind field is simulated in three dimensions.

windSimFastA three-variate turbulent wind field (u,v and w components) is simulated in three-dimensions.SummaryA turbulent wind field (u,v,w, components) in 3-D (two dimensions for space and one for

A set of tools for working with light field (aka plenoptic) imagery in Matlab

This has been superseded by v0.3, http://www.mathworks.com/matlabcentral/fileexchange/48405-light-field-toolbox-v0-3This is a set of tools for working with light field (aka plenoptic) imagery in

使用AFO算法以及其他GA和PSO算法求解不确定多式联运路径优化问题。同时和MATLAB自带的全局优化搜索器进行对比。The AFO algorithm and other GA and PSO algorithms are used to solve the uncertain

Permanent Magnet Synchronous Motor Field-Oriented Control with TI LaunchPad and BOOSTXL-DRV8301

This example shows how to use a closed-loop Field-Oriented Control (FOC) algorithm to regulate the speed and torque of a three-phase Permanent Magnet Synchronous Motor (PMSM). This example uses C28x

Generate low-noise extended depth-of-field image from focus sequence

This function generates an extended depth-of-field image (also referred to as all-in-focus image) from a focus sequence using the noise-robust selective all-in-focus algorithm [1]. Input images may

Transform Tensor

Version 1.0.0.0

by Peter Graat

Transformation of a 3D-tensor of any order to another coordinate system.

FUNCTION otr = transform(itr,tmx)PARAMETERSotr = output tensor, after transformation; has the same dimensions as the input tensoritr = input tensor, before transformation; should be a 3-element

AI-mag

Version 4.0

by Thomas Guillod

AI-mag: Inductor Modeling and Design with FEM and Artificial Neural Network

reproduce the figures of merit (MATLAB or Python Keras and TensorFlow)Using the ANNs, quickly generate accurate inductor designs (without solving any FEM model)Multi-objective data exploration with a GUIThe

Simulation of spatially correlated wind velocity time-histories

https://se.mathworks.com/matlabcentral/fileexchange/68632-wind-field-simulation-the-fast-version.SummaryA method to simulate spatially correlated turbulent wind histories is implemented following [1,2].Two possible vertical wind profiles and two possible wind spectra are implemented. The user is free to

Returns the field names of a structure, include the field names of any "sub-structures".

NAMES = fieldnamesr(S) returns a cell array of strings containing the structure field names associated with s, the structure field names of any structures which are fields of s, any structures which

Comprehensive intro to structure tensors both in 2D and 3D

Tutorial on structure tensors. Normally associated with image processing and structure inference, this code provides a completely encapsulated package to explain and demonstrate the use of structure

Accelerating speech prosthesis development with Simulink-based real-time neural decoding and audio synthesis

TensorFlow based machine learning models to map neural activity to the inputs of vocal synthesis algorithms. At present we employ LSTM and Transformer based models for mapping and we employ both physics based

Splits an array of any dimension into cell array of equal sized chunks.

A symbolic toolbox for MATLAB based on Mathematica.

You can use the Phase Plane and Slope Field apps to qualitatively analyze ordinary differential equations (ODEs).

Slope Field and Phase Plane apps have been written entirely from scratch in MATLAB App Designer using modern MATLAB coding practices. This makes the new apps easier to maintain, edit, and use.Getting

Tools to compile a real-time application that runs on a Speedgoat target computer

Shapiro-Wilk & Shapiro-Francia parametric hypothesis test of composite normality.

DylanMuir/TIFFStack

Version 1.23.0.0

by Dylan Muir

Read a TIFF stack as a memory-mapped tensor. Handles a large range of internal TIFF formats.

TIFFStack object behaves like a read-only memory mapped TIF file. The entire image stack is treated as a matlab tensor. Each frame of the file must have the same dimensions. Reading the image data is

Superfast MRI field shift calculation based on a known susceptibility distribution.

resolution, without memory problems. Explanation and references:The presented algorithm is an efficient implementation of the Fourier-based procedure to calculate the susceptibility-induced field-shift if an

Matlab code for the matched-field processing (MFP) method for leak detection in a pipe

This is the Matlab code for the matched-field processing (MFP) method for leak detection in a pipe.This code was used to obtain the results inX. Wang and M. S. Ghidaoui, Pipeline leakage detection

Speed variation is accomplished by means of a variable resistance inserted in series with the shunt field. An increase in con

Speed variation is accomplished by means of a variable resistance inserted in series with the shunt field. An increase in controlling resistances reduces the field current with a reduction in flux

Tensor Utilities

Version 2.41.0.0

by André Flakke

Tensor Utilites for Tensor Manipulations

Tensor utilities for tensor operations like contractions, sub-tensor extractions, outer-products, tensor permutations, and matrix unfoldings. Some of these are operations which have the Kronecker

This software package developed for antenna array diagnosis from far-field measurements.

linear relationship relating the difference of the far-field radiation patterns between the reference array and the antenna under test. Three sparse based recovery approaches namely the minimization of the

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