Additional-Validators-for-MATLAB

Additional argument and property validation functions currently absent in MATLAB's standard library

# Additional ValidatorsAdditional argument and property validation functionscurrently absent in MATLAB's standard library.# Content- `mustHaveSameSize` validates that values have the same size

Parse function arguments

A useful tool for parsing function arguments like 'cellspacing',6,'monkey',1

Helper function for parsing varargin. Makes it easy to write functions that take arguments like this: subaxis(4,2,1,'spacing',0,'marginleft',.1,'H','pt',.1

Mittag-Leffler function with matrix arguments

Evaluate the Mittag-Leffler function with one or two parameters at square matrix arguments

This MATLAB functions evaluates the Mittag-Leffler (ML) function with two parameters ALPHA and BETA at the square matrix argument AE = ML(A,ALPHA,BETA) evaluates the ML function with two parameters

IPV4 address Validation

A function which Validates given IPV4address.

the IP address you want to Validate . This function returns a value 1 if success else 0 . If any other matlab data types apart from string type are passed to this function then also it returns a value 0

Bessel Function of Complex Order and Argument

Bessel function of complex order and argument

As so many people have asked me the C++ code for calculating besel functions of complex order and complex arguemnt, I now submit them to benifit more people ...

SETARGS | Parse user-specified optional arguments (varargin) with default values

Assigning values (default vs. user) to optional arguments (varargin) in a function

This is a utility for setting the value of optional arguments to a function. The first argument is required and should be a cell array of "name, default value" pairs for all optional arguments. The

A Matlab function For Randomly Partitioning Date into Training, Validation and Testing Data

A Matlab function For Randomly Partitioning Date into Training, Validation and Testing Data

This function randomly partitions data into training, validation and testing data using Cross Validation. Partitioning data in this manner is commonly used for determining the performance of

Fill Between Area Curve

The Fill Between Area Curve creates a shaded area between two data series, effectively highlighting the region of overlap or difference.

between 2 lines formed by y1 and y2 with color c.* `fillBetweenAreaCurve(__, Name, Value)` specifies additional options for the FillBetweenAreaCurve using one or more name-value pair arguments. Specify the

Optional function arguments

Optional function arguments with default values: optndfts

Optional function arguments: optndftsAllows optional arguments to be specified as name value pairs, and default values given for those augments not specified e.g.function strt=demo1(arg1,varargin

Process named Arguments

Easily add optional, named arguments to your functions, like this: f('var_name', value).

Assigns named arguments passed to your function to local variables (as in plot(), etc.). The name of the argument is the name of the local variable in your function. Example: inputfun('prompt', '&gt

UAV Toolbox Support Package for PX4 Autopilots

Design, simulate, deploy, and validate flight control algorithms for PX4-based Autopilots with UAV Toolbox and Embedded Coder.

verification and validation using the Processor-In-Loop simulation.Simulink library to access the Pixhawk peripherals such as ADC, PWM, Serial CAN and I2C.Simulink library for the uORB middleware.Simulink

DPX file reader

A DPX file parser .

DPX is a high dynamic range file format used for digital motion picture stills and synthetic imagery. The readdpx function extracts image metadata and returns image pixels for each frame.The DPX

Lambert W function (logarithmic input)

Lambert W function for real, nonnegative, possibly large arguments.

This function is analogous to the builtin lambertw() except that it accepts the logarithm of the argument:lambertw(0,exp(logx)) == lambertwlog(logx) (within machine precision)This function only

SVM Grid Search

Performing grid search for SVM, using the default Matlab toolbox.

kktviolatonlevel level. It gives as output array with the trained SVMs, array showing if a SVM was not able to be trained (converge), and the accuracy for the train, validation and test sets. The function is easy to

filefun: Apply a function to files

Adds multi-file functionality to functions handling only single files.

FILEFUN is created in the same spirit as e.g. CELLFUN, in that it repeatedly calls the same function FUN with different arguments, in this case filenames. It will then collect the output(s) of the

Perfect Polar Plots

Functions to generate fully customizable polar plots including compass orientation and circle segments.

Although current versions of Matlab do offer some polar plotting functionality, it isn't particularly flexible. "Perfect Polar Plots" is a few functions which can be used to create fully customizable

validateInput

A simple 'getOpts' type script to validate input parameters.

validateInput started when creating saveppt2. There was a need to take a large number of inputs, in any order, and make them usable to the script. Checking if an input argument has been passed can be

m2uml

m2uml generates UML class diagrams from m-code

: Custom documentation that is integrated in the Help Browser of Matlab.7. New: Extensive possibilities to customise the class diagram, e.g display input and output arguments of methods8. New: m2uml comes in

Files for "Deep Learning for Computer Vision with MATLAB"

Example files for "Deep Learning for Computer Vision with MATLAB" Webinar - July 5, 2016 (Spanish)

Algorithmic Trading with Bloomberg EMSX and MATLAB

Files from the webinar can be viewed at http://optinum.co.za/_webinar/BloombergEMSXandMATLAB.mp4

FastTracks

Automated tracking of fluorescently labeled cells

Segmentation of blood vessels in retinal fundus images using maximum principal curvature

Presented Algorithm segments blood vessels of retinal image with a high degree of accuracy

every pixel of the Gaussian filtered Image.After some contrast enhancement final segmented image is obtained using ISO Data thresholding. This algorithm is validated using images in drive database .

Simple Deep Learning Algorithms with K-fold Cross-Validation

This toolbox offers convolution neural networks (CNN) using k-fold cross-validation, which are simple and easy to implement.

Panic Simulator

Simulates panic behaviour in modifiable rooms with one exit

Procrustes cross-validation

Set of methods for generating Procrustes validation sets for PCA/SIMCA, PCR and PLS models.

Procrustes cross-validation is a new approach for validation of chemometric models. It makes possible to generate a new dataset, named "PV-set" and use it for validation of models in the same way as

PEMF cross-validation

PEMF is predictive (cross-validation type) approach to test surrogate models.

Predictive Estimation of Model Fidelity (PEMF) is a model-independent approach to measure the fidelity of surrogate models or metamodels, such as Kriging, Radial Basis Functions (RBF), Support Vector

parseargs: Simplifies input processing for functions with multiple options

For parsing function arguments supplied as name-value pairs, e.g. 'XLim',[0 10],'YLim',[0 100]

Based on same idea as the excellent "parse_pv_pairs", and similar to the "inputParser" object added to MATLAB in R2007a, this function handles names and values for properties in any order, and

Check the number of arguments to a function

Prettify checking the number of arguments to a function.

nargchk is used almost exclusively in one way:error(nargchk(minargs, maxargs, nargin, 'struct'));The third and fourth arguments are always the same, and you always wrap it in an error call.This

ArgUtils

Argument parsing utilities

followed by keyword arguments (name-value pairs) in any order. Keywords are matched using MATLAB's string validator, so matching is case-insensitive and abbreviated keywords are acceptable as long as they

K-Fold Cross Validation with & without Random Shuffle Data

This function creates two cell arrays, one with training data and the other with testing data.

. Check the functions help section for more details.Cites:https://en.wikipedia.org/wiki/Cross-validation_(statistics)

Chebfun V4 - old version; please download current version instead

Numerical computation with functions

Computing of Voigt/complex error function with small y

This program file is presented for highly accurate approximation of the Voigt/complex error function with small imaginary argument y ≤ 0.1.

[Kxy,Lxy]=cedawSeu(x,y).This program file computes the complex error function with small imaginary argument 0≤y≤ 0.1. In the real and imaginary parts this program provides average accuracy exceeding

Sparse Automatique Differentiation

Forward automatic differentiation using operator overloading and sparse jacobians

overloading. This does not provide backward mode. It enables precise and efficient computation of the Jacobian of a function. This contrasts with numerical differentiation (a.k.a finite differences) that is

geonetdigitizer

Digitize plots expressed in the spherical projections: Wulff and Lambert.

UAV Toolbox Support Package for ArduPilot Autopilots

Design, simulate, deploy, and validate flight control algorithms for ArduPilot-based Autopilots with UAV Toolbox and Embedded Coder.

Overview The UAV Toolbox Support Package for ArduPilot Autopilots enables you to develop and validate flight control algorithms for ArduPilot-based UAVs using Simulink^®. Validate controller behavior

Estimation in non-linear state-space models.

Robust estimator for non-linear state-space models with state-dependent noise.

initialization script, a test function and a technical report. The initialization script adds all relevant directories and sub-directories to the MatLab path and compiles two MEx files, both of them necessary for

K-Fold Cross Validation

K-Fold Cross Validation for Binary Classification, using LibSVM

Hybrid Equations Toolbox

Toolbox for simulating hybrid systems and plotting hybrid arcs in MATLAB and Simulink.

installing v3.0, the following error appears: “Error using HyEQsolver. Too many input arguments.”Cause: A previous version of the toolbox is still installed.Solution: Uninstall the previous hybrid toolbox

Cool CD (Change Directory)

A better version of the "cd" function (to change directories)

OUT OF) to the top of your directory stack.You can quickly change back to any of the directories in your stack, add new ones, or clear the stack. Also, just typing "CCD" (with no arguments) will toggle

export BERT to MATLAB: Load pre-trained BERT models

This toolbox imports pre-trained BERT transformer models from Python and stores the models to be directly used in MATLAB.

model (“none”, “text-classification”, “token-classification” or "question-answering"), and the model format (“tf” or “pt”): # Open command window cd "...\exportBertToMatlab\Python

CVAP: Cluster Validity Analysis Platform (cluster analysis and validation tool)

supplying over 17 validity indices and 5 clustering algorithms based on GUI

Cluster validation is an important and necessary step in cluster analysis. This visual cluster validation tool CVAP based on GUI provides important tools and convenient analysis environment for

Instrument Control Toolbox Support Package for National Instruments NI-FGEN Function Generators

Control NI-FGEN devices and create arbitrary waveforms.

Instrument Control Toolbox™ Support Package for National Instruments^® NI-FGEN Function Generators enables you to communicate with NI-FGEN function generators remotely from a computer running MATLAB

Picture Matching Function

Matches two pictures given as arguments.

The function takes two images as argument and using edge detection checks whether they are the same or not...a cool and simple code which can be used in security systems. The level at which the two

Hybrid Equations Toolbox (beta)

This is a beta release of the upcoming version 3.1 of the Hybrid Equations Toolbox. Changes may occur prior to release.

Kernel-Based Mixture of Experts Models For Linear Regression

Kernel-Based Mixture of Experts Models For Linear Regression

functions can be used. This allows the method to work directly in terms of kernels and avoids the explicit introduction of the feature vector, allowing one to use feature spaces of high, even infinite

grTheory - Graph Theory Toolbox

28 functions for different tasks of graph theory

transitive closure for the digraph;grTravSale - solve the nonsymmetrical traveling salesman problem;grValidation - auxiliary function (the data validation);grTheoryTest - test program for all functions.

Demos from "Object Recognition: Deep Learning" Webinar

Demos Used in "Object Recognition: Deep Learning and Machine Learning for Computer Vision" Webinar

gPKPDSimToolbox

The app is used for PKPD Modeling and Simulation.

Shape Context Based Corresponding Point Models

Shape Context based nonrigid registration of 2D/3D objects, to build Active Shape Models

optimizer doesn't succeeded in all cases of the 3D-example (maybe in next update)Notes:- The examples, will compile some c-coded functions into MEX files. In case of failure slower Matlab coded functions will

SeisLab 2.01

Release 6.1925 of a collection of functions for analysis/display of seismic and well-log data.

A set of 140 functions (plus support functions called by them) for analysis and display of exploration-seismic data and well logs. These functions read and write seismic data in standard SEG-Y format

Route Validation in MANETs using MLP

Route Validation in Moblie Ad-hoc Networks using Multi-Layer Perceptron Neural Network

Default arguments

Set default values for optional function input.

Set default arguments for use in function, without having to code the switch-case blocks. Code is quite trivial, but it saves me some time coding.

Hyperspectral Image Classification

Code for the paper "PCA based Edge-preserving Features for Hyperspectral Image Classification"

Chebfun - current version

Numerical computation with functions

Chebfun is an open-source software system for numerical computing with functions. The mathematical basis is piecewise polynomial interpolation implemented with what we call “Chebyshev technology

OpenOCL - Open Optimal Control Library

Optimal Control toolbox for Matlab. Software for trajectory optimization and Model-predictive control (MPC).

matlab-validoozy

Additional validator functions for Matlab

Validoozy for Matlab====================In R2017a, Matlab introduced "mustBe*()" validator functions, for doing declarative-ish constraints on properties and function arguments. Validoozy provides

Synthetic Bright-Field Microscopy Image Generator

This is a synthetic image generation tool that can create realistic Pap-smear images

PIVlab - particle image velocimetry (PIV) tool with GUI

Easy to use, GUI based tool to capture, analyze, validate, postprocess, visualize and simulate PIV data.http://PIVlab.de

ANP: Animated Nyquist Plot

Create a customizable nyquist plot that displays pole/zero contributions.

Programmed for educational purposes, this Matlab function draws a Nyquist diagram of any given rational transfer function (including delays) and allows the user to explore it. As the radius of the

digamma function

digamma function for complex arguments

The digamma or Psi (Maple) or Polygamma (Mathematica) function for complex arguments.FDIGAMMA(Z) returns the digamma function of the complex scalar/matrix Z.