125 results


version 1.1.2

by Edoardo Patelli

OpenCossan is an open and free toolbox for uncertainty quantification and management.


version 1.0.4

by Marco Gavelli

Matlab/Simulink interface. Easily create Simulink models from a Matlab script.


version 1.0.0

by Roland

A Matlab Toolbox to handle mutli-dimensional time series (mdts)



by Jed F.

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

MATLAB toolbox for stochastically rounded elementary arithmetic operations in IEEE 754 floating-point arithmetic.

Like the built-in input function but with the ability to impose constraints and checks on user input

validateattributes(A,classes,attributes).k = VALIDATEDINPUT(prompt,validationFcn) checks the input using the provided validationFcn.If the user input provided at the prompt is invalid, the user will be informed of the reason why and

Gbest PSO, Lbest PSO, RegPSO, GCPSO, MPSO, OPSO, Cauchy mutation, and hybrid combinations

lengthy histories is recommended except when generating data to be published or verifying proper toolbox functioning, in which case histories should be analyzed.+ Automatic input validation assertively


version 0.1.0

by Andrew Janke

Enhanced clipboard copy & paste functionality for Matlab

A template for creating repos for Matlab library and application projects

Parse varargin cells to option structures

validator functions. This is a utility function based on Matlab's `inputParser`.

PEMF cross-validation

version 2016.1.0.0

by ADAMS Lab

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

Regression (SVR), and Neural Networks. It can be perceived as a novel sequential and predictive implementation of K-fold cross-validation. PEMF takes as input a model trainer (e.g., RBF-multiquadric or

This GUIDE app was created for educational purposes to explain in details how the numerical methods work when solving a numerical problem.


version 1.0.2

by Eric Dziekonski

Generate the code for a CSS/HTML-based data table from an input numeric, string, or cell array with many available formatting options.

element). With 60 user adjustable parameters, and multiple accepted input formats, the table can be customized in virtually any way.All parameters are invoked via name-value pairs and validated.Please read

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

at random by turning shuffle 'on' or 'off'.The input data must be in column vectors/matrices, if the function believes you have entered a row vector/matrices it will automatically transpose the data

Additional validator functions for Matlab

A toolbox for Matlab, for solving continuous time trajectory optimization problems

Time-frequency analysis, multisynchrosqueezing transform, signal reconstruction.

perfectly invertible. The MSST does not require any a priori information on the signal. The code only needs the input parameters, e.g., signal, window length and iteration number. It is a novel and

This code is used to interval uncertainty analysis based on Chebyshev interval inclusion function proposed by Jinglai Wu.

% function [y_lb,y_ub]=CI_reg(fun_name,a,b,k,K,Expansion)% Input% fun_name the called function name% a the lower bound vector of interval input % b the upper bound vector of interval input% k the

Simulink Transfer Function with Coefficients Input

These simulink blocks allow to input the transfer function its coefficients for the first, second and third order systems. This is beneficial for time varying parameters systems. The idea is simple


version 1.0.0

by Anurak Thungtong

HRViewer is a matlab software tool designed for in deep viewing and comparing HRV indices computed from different EKG files as well as diffe


version 1.1.1

by Andrew Janke

A Matlab API for extensible, polymorphic custom object display

Agent based simulation framework to validate planners in automated driving synthetic scenarios. The example demonstrates overtake maneuver.

environment.This demo showcases a Simulink model architecture for creating and simulating synthetic scenarios. It reads as input the scenario file saved using the Driving Scenario Designer (DSD) application. This

A toolbox for LAI validation and correction

The TSF toolbox was created based on the LAI validation and correction process in this thesis. Generally, it can preprocess LAI data worldwide by inputting required data (LAI, FparLai_Qc, FparEx_Qc

Two files are provided: xgboost_train and xgboost_test which call the xgboost dll from inside Matlab. The example is for classification.

max_num_iters, without internal cross validation.Your own "outside" cross validation procedure can be used, which calls xgboost_train.m. An example of such outside procedure is documented in xgboost_train.mThe

Simulink implementation of an industrial case study with 3 inputs and 3 outputs

The following are contained in this submission:1. evapSimNew.slx - the Simulink model of the Newell-Lee forced-circulation evaporator system.2. runEvapSim.m - a script that designs input excitation

TCP/IP server and client for Matlab


version 1.0.0

by Ayad Al-Rumaithi

Natural Excitation Technique (NExT) with Eigensystem Realization Algorithm (ERA)

NExT---------------------------------------------------------[Result] = NExTTERA(data,refch,maxlags,fs,ncols,nrows,cut,shift,EMAC_option)Inputs :data: An array that contains response data.its dimensions are (nch,Ndata) where nch is the number of channels. Ndata is

Easy to use variable lenght input parameter parser mechanism with validation.

MLS package: To be able to install this library as an MLS package, you have to download it from GitHub as an MLS package: https://github.com/tiborsimon/simple-input-parser/releases/latestEasy to use

leave-one-out crossvalidated linear regression

[PearsonR, PearsonP, SpearmanR, SpearmanP, yhat, R2 ] = BenStuff_CrossValCorr( x,y, [MathMagic], [OmNullModel] ) leave-one-out cross-validated simple linear regression INPUT VARIABLES: x, y

Gratuity Calculator for Indian Monthly Salaried Employees

CO2SYS software for MATLAB (or GNU Octave) to calculate marine CO2 system variables and propagate uncertainties.

Version 3 of CO2SYS for MATLAB now accepts inputs of carbonate ion, bicarbonate, dissolved CO2, ammonium, and hydrogen sulfide. Choices for KSO4 constant, KF constant (Perez and Fraga (1987) has been

DeepESN2019a: Deep Echo State Network (DeepESN) Toolbox v1.1

Memory Capacity (MC) task.- example_task_MC.m: The file contains an example of the usage of the methods in the Task class, including loading of (input and target) data from .csv files, and hold-out

Calculation of the Degree-of-support/disproof table for a fuzzy rule, its consistency and coverage (also their new F2, F3 and F4 versions)

extraction and validation - consistency and coverage revisited. Information Sciences, 412-413, 154–173. http://doi.org/10.1016/j.ins.2017.05.042, table 6Four different consistency and coverage measures for the

Reference code for the paper: Deep White-Balance Editing, CVPR 2020 (Oral).

run the demo_single_image.m, it should save the result in ../result_images.2. Run demo_GUI.m for a gui demo.** Training Code **1. Download the Rendered WB dataset.2. Copy both input images and

EDSR (Enhanced Deep Super-Resolution) Single Image Super Resolution Matlab port

file ■Input image MyPicture.jpg should be pristine (not blurred) image. EDSR neural net will upscale the image by 2x.img = imread("MyPicture.jpg"); % 1024x768 input image imgSR =

Signal Processing & Machine Learning workflow on smartphone data for Human Activity Recognition.

FPA clust extracts the optimal cluster centers from training samples. The extracted cluster centers are then validated on test samples.

extracts information in the form of optimal cluster centers from training samples. The extracted cluster centers are then validated on test samples.Data_Clustering_FPA.m is the file which needs to be

This code is used to analyze the hybrid uncertainty with random variables % and interval variables by using PCCI method proposed by Jinglai

bound vector of interval input% k1 the order of CI expansion% K1 the scanning (validation) points of each interval variable, larger value makes the result more accurate% Expansion expansion type of

This program converts a BMP/TIFF/JPG/PNG file to a monochrome image & an embedded C/C++ byte array.

monochrome image for your validation. The code also resizes the input image based on the width & height entered before array generation.Steps:1) Enter the width & height of the output image2) Choose

an implementation of the primal simplex algorithm for computing the minimum cost flow of the graph

Eigensystem Realization Algoirthm with Mode Condensation Algorithm

noise).function [Result] = ERA_CONDENSED(Y,fs,ncols,nrows,inputs,initialcut,maxcut,shift,EMAC_option,LimCMI,LimMAC,LimFreq,Plot_option)Inputs :Y: Free vibration output data in a form of Y=[Y1 Y2 ... Y_Ndata] Yi is



by John Evans

Mex file interface for reading various raster image formats, optionally providing georeferencing.

Peak fitting GUI for Diffraction Data

Determines visibility times from observer location for specified period. LLA and KML output.

Main function: OrbProp.m NOTE: 1. Output generated by this program has not been validated, other than ensuring close agreement with AGI STK results. Prior to MAR 2018, expired Earth Orbit Parameters

Chess Choppers


by Baber Khalid

This is a one and 2 player chess program.

Determine the Peak SNR Needed to achieve a desired False Alarm Rate at a Specific Probability of Detection and pulse duration in white noise

required to achieve the desired Pd in white noise. The output has been validated against the RCA Electro-Optics Handbook published in 1975.Code is Vectorized for speed therefore all inputs can be

Eigensystem realization algorithm with modal indicators including consistent mode indicator and modal participation factor

impulse excitation with added uncertainty (gaussian white noise) to the response. function [Result]=ERA(Y,fs,ncols,nrows,inputs,cut,shift,EMAC_option)Inputs :Y: Free vibration output data in a form of Y=[Y1



by per isakson

Parses, adds defaults and validates the input of functions and methods

classes that are allowed for the value 5. constraints on the value of the input argument ipv is a name/value structure, which holds the complete and validated input data.Documentation

Returns impulse response functions (IRF) using Natural Excitation technique with time domain method and frequency domain method

= NExTT(data,refch,maxlags)Inputs :data: An array that contains response data.its dimensions are (nch,Ndata) where nch is the number of channels. Ndata is the total length of the data refch: A vecor of reference channels .its

Natural Excitation Technique with Eigensystem Realization Algoirthm including Mode Condensation Algorithm

---------------------------------------------------------------------- [Result] = NExTTERA_CONDENSED(data,refch,maxlags,fs,ncols,nrows,initialcut,maxcut,shift,EMAC_option,LimCMI,LimMAC,LimFreq,Plot_option)Inputs :data: An array that contains response data.its dimensions are

Computes pseudo R-squared goodness-of-fit measure for Poisson regression models from real and estimated data

relative reduction in deviance due to the added to the model covariates [5]. Pseudo R-squared measure was used as goodness-of-fit measure when predicting spike counts in [4,5,6,8].INPUT - realData - observed

DPX file reader


by Jeff Mather

A DPX file parser .

Calculates the refractive index of air

fraction and the saturation vapour pressure. All inputs are validated to ensure they are within the valid range.

A back-of-envelop (K14 education) model of the Microsat-R debris is presented with Gabbard Diagram of TLE and model orbital properties.

the statistically simulated debris and when they will de-orbit. This is a 2D model. This model is offered for educational purposes. There is no truth to validate the model apart from the deltaV and



by Brett Shoelson

Manually mark and count objects in an image.

Sometimes you need to be able to manually count objects or regions in an image. (You may want to validate an automatic count, for instance.) This tool facilitates that task by allowing you to mark



by Kenneth Eaton

dirPlus will recursively collect a list of files/folders from a folder tree.

setting of the 'RecurseInvalid' argument determines if invalid subdirectories are still recursed down.'ValidateDirFcn' - A handle to a function that takes as input a structure of the form returned by the

This function generates the small-signal model of a 2 discrete state DC-DC converter.

state variable (X), input parameter (U) and output parameter (Y) vectors.The validation file attached shows three examples for a buck, boost and buck-boost converter with parasitic elements where this

Compatibility Support for Widgets Toolbox content built in R2017a-R2020a


version 1.1.1

by Claudio Gallicchio

DeepESN2019a: Deep Echo State Network (DeepESN) Toolbox v1.1

Memory Capacity (MC) task. - example_task_MC.m: The file contains an example of the usage of the methods in the Task class, including loading of (input and target) data from .csv files, and hold-out

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