25,211 results

RunLength coding as fast MEX and M-code

FileExchange already. This C-Mex isabout 5 times faster than good vectorized M-versions.The M-file RunLength_M contains vectorized and loop M-code for education.EXAMPLES:Encode and decode: [b, n] = RunLength([8

This file contains functions to optimize chamfer masks and implement sequential distance transforms.

This submission implements functions to(1) Optimize chamfer masks using an alternative cost function, called symmetric mean absolute error (SMAPE), which has been widely used in weather forecasting

This submission implements a robust cost function for designing chamfer masks

Makes the pre-R2008b (MATLAB 7.7) default desktop layout available on the Desktop Layout menu.

In MATLAB^® 7.7 the default layout was changed. Choosing "Default" from the Desktop Layout menu now arranges desktop tools in three columns where previously they appeared in two columns. If you

A Matlab toolkit for sensor placement in water distribution systems

FrameworkEliades, D., Polycarpou, M., 2010. A fault diagnosis and security framework for water systems. IEEE Transactions on Control Systems Technology18, 1254�1265. ref↑ Back to topRequirementsMatlabEPANET v2.1

The University of Alabama’s EcoCAR Mobility Challenge CAV designs from Year 1 of the competition

This upload contains The University of Alabama’s designs from Year 1 of the EcoCAR Mobility Challenge competition. Included in these files are driving scenarios from the Driving Scenario Designer

Choose K elements from a vector - MEX: 100 times faster than NCHOOSEK

(Matlab 7.8, 1.5GHz Pentium-M, 512 MB): NCHOOSEK(1:50, 5): 45.30 sec VChooseK(1:50, 5): 0.32 sec => 141 times faster NCHOOSEK(1:20, 16): 0.52 sec VChooseK(1:20, 16) 0.0024 sec => 216

This function extends the capabilities of the plot function in Matlab and enhances the visual output of a basic plot.

| %| If mark = 0(default); this option will disable the marker | %| If mark = 1; this option will enable the marker

Breusch-Pagan test for heteroskedasticity in a linear regression model (original and Koenker's versions).

, R. (1981). "A note on studentizing a test for heteroskedasticity". Journal of Econometrics. 17 (1): 107–112. doi:10.1016/0304-4076(81)90062-2.

Adaptive Morphological Reconstruction for Seeded Image Segmentation. It is published in 2020-TIP.

MD5 or SHA hash for array, struct, cell or file

numeric vector.EXAMPLES:Default: MD5, hex: DataHash([]) % 7de5637fd217d0e44e0082f4d79b3e73SHA-1, Base64: S.a = uint8([]); S.b = {{1:10}, struct('q', uint64(415))}; DataHash(S, 'base64

A Novel Metaheuristic Inspired by Horned Lizard Defense Tactics

dimensions 50 and 100.DOI: 10.1007/s10462-023-10653-7https://link.springer.com/article/10.1007/s10462-023-10653-7

An Improved Power-Quality 30-Pulse AC–DC for Varying Loads

Modeling Using Artificial Neural Network

ANN MATLAB code.Just enter the name of the Excel feed in the file "ANN.m" line 30 and start modeling. f = xlsread('DATA(cylindrical)')';The Excel file contains a sample dataset of cylindrical

Overlapping elements of 2 cell strings. 10-20 times faster than INTERSECT/ISMEMBER/SETDIFF.

'}, {'a', 'c', 'd', 'a', 'b'}) replies: AI = [1, 2, 4] and: BI = [1, 5, 1] [AI, BI] = CStrAinBP({'a', 'b', 'A'}, {'a', 'c', 'a', 'B', 'b'}, 'i') replies: AI = [1, 2, 3] and: BI = [1, 4, 1

In this repository, we implemented and trained the SciNet network described in arXiv:1807.10300v3.

project Scinet.prj(optional) run "Read instructions" from project shortcuts panelMathWorks Products (http://www.mathworks.com)Requires MATLAB release R2019b or newerDeep Learning Toolbox™Getting StartedRun

A tutorial on how to solve differential equations with MATLAB in the context of radioactive decay according to Bateman.

A faster FILTER and FILTFILT: Speedup factor 2.5 to 25

uTest_FiltFiltM to check validity and speed.Tested: Matlab 6.5, 7.7, 7.8, WinXP, 32bit Compiler: LCC2.4/3.8, BCC5.5, OWC1.8, MSVC2008Assumed Compatibility: higher Matlab versions, Mac, Linux, 64bitThis is

MATLAB examples for use with PicoLog 1000 Series data loggers.

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

research](https://scholar.google.de/scholar?hl=de&as_sdt=0%2C5&q=%28%22pivlab%22+%7C+%22piv+lab%22%29+AND+%28%22piv%22+%7C+%22particle+image+velocimetry%22%29+-%22%40pivlab.net%22&btnG=)!

A Parallel Ray Tracing GUI for Radiation Analysis and View Factor Determination

3D convertor from Matlab to SketchUp, permits to create visualization for debugging purposes, data analysis and results rendering.

Multi-Objective Atomic Orbital Search (MOAOS) for Global and Engineering Design Optimization

Efficient calculation of combination or binomial coefficient, without direct calculating factorials.

below)https://kr.mathworks.com/matlabcentral/fileexchange/105320-nck?tab=discussions#discussions_2429840usage:>> nck(7,5)21Inspired by python reduce implementationmodified using better alrorithm

SimPowerSystems model of the 41-bus Western North American Power Grid

This file contains the MATLAB code for generation of DSBSC signal.

The codes show backward integration simulation on mathematical dynamical models for SDDRE controller in regulation and tracking.

A simple code for Economic Load Dispatch using Optimization Functions available in MATLAB or GNU Octave.

Generates Legendre polynomials in MATLAB^® polynomial form

Perform the Fourier transform based autocorrelation of grayscale frames to measure the speckle size. Also work with stacks of images

radial average function radial_avg2.m (included). [Frm_stack] : the input is a 3-d or 2-d matrix containing the speckles in the format x,y,,frame-index. [FWHM] : Full width at half maximum of the speckle

Some tools for geostatistical analysis

Bayesian lasso, horseshoe and horseshoe+ linear, logistic regression and count regression

ac voltage controller

Label contours along a curve in MATLAB

Thresholding and Regularization Techniques for Image Denoising

TRT_FilterThresholding and Regularization Techniques for Image DenoisingGUI requires MATLAB 2021bCite the paper:Nguyen N. Hien, Dang N.H. Thanh, Ugur Erkan, Joao M.R.S. Tavares. “Image Noise Removal

This is a Simulink project to provide the values of pressure and flow in the human circulatory system with electric circuits components.

electric parameters in the project: init_fcn.m.File to plot results after running the simulink project: stop_fcn.m.References[1] M. F. Snyder and V. C. Rideout. 1969. Computer Simulation Studies of the

Fast Iterative Filtering

Fast Iterative Filtering for the decompostion of non-stationary signals [1,2,3].Please refer to "Example_v8.m" and "Example_real_life_v6.m" for examples of how to use the code.It is based on FFT

3D SIFT keypoints and feature descriptors, image registration, and I/O for DICOM, NIFTI.

formats. This is a C library that can be called from Matlab. For more information, see SIFT3D/wrappers/matlab/README.md.This file contains the source code and documentation. For binary installers

Draw Sketch Profile Cookie Cupcake Gear Wavy Circular Shapes

An Introduction to Sliding mode Control:Basics

https://youtu.be/e-wzvbYwWN8https://youtu.be/VNB_SyAvB68https://youtu.be/vZIcVabXysgAdaptive Sliding-Mode Control for Boost DC–DC Converters: MATLAB Implementationhttps://youtu.be/u2nr0O2aitcA High-Speed Sliding-Mode Observer for the Sensorless Speed Control of a

Quantile regression

MNI2FS: High Resolution Surface Rendering of MNI Space Volumes

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

Analytical solution for Euler-Bernoulli beam with n simple supports.

Simulates panic behaviour in modifiable rooms with one exit

Finds the feasible region from a set of constant, linear and nonlinear inequalities

Piecewise linear feasible regionFinds the piecewise linear feasible region from a set of constraints functions (inequalities) derived within the actual problem domain. y 'sign' f1(x) y 'sign

This app detect the virus using ML technique !

业务范围包括但不限于，生物/地震/机械/振动/声音/语音等多种领域中的信号处理问题。（最新文章源码以及c或者python版本，可联系， 手机号：15064155055 微信号：yg694722435 邮箱：yugang2010@163.com

Identifies 2D vortices using Gamma 1 from Graftieaux

, though, because it uses 4 nested for loops. Producing the gamma1 map can be done more efficiently in Matlab by realizing that the operations described in the Graftieaux's paper can be rearranged into two

Download/upload a file from/to the web with progress display using MATLAB's http web services.

(in seconds) for updating progress. Default = 1 second.ShowFilename : Whether to show name of uploaded file. Default = false.IndentSize : Size of indentation if displaying progress in command

Nutcracker Optimization Algorithm is a novel nature-inspired metaheuristic algorithm

, CEC-2017, and CEC-2020 and five real-world engineering design problems. NOA is compared with three classes of existing optimization algorithms: 1) SMA, GBO, EO, RUN, AVOA, RFO and GTO as recently-published

Matlab toolbox for separation techniques hyphenated high resolution mass spectrometry

oriented object programming .# ReferencesFinnee has been used in two published manuscripts.1.Erny, G.L, Acunha, T., Simó, C., Cifuentes, A., Alves, A. Finnee—A Matlab toolbox for separation techniques

Open Source Simulation Package for MATLAB

Generates global stiffness matrix from elements stiffness matrices in a fast way

High-precision computation of planetary ephemerides

Comparison of Artificial Potential Field (APF) algorithm, Vortex APF algorithm, Safe APF algorithm, and Dynamic Windows Approach.

Comparison of the following local path planning algorithms:Artificial Potential Field algorithm [1]Vortex Artificial Potential Field algorithm [2],Safe Artificial Potential Field algorithm (paper

The algorithm is developed based on the concept of Newtonian cooling law.

%% Developed in MATLAB R2020b (MacOs-Monterey) %% %% Author and programmer

Vectorized assembly of FEM matrices.

A collection of snippets that exemplify the proper implementation of conservative high-order compact-schemes.

extremely versatile implementation of conservative compact schemes is possible thanks to three ingredients:1. A Taylor Table algorithm (see: Easy build compact schemes).2. An ingenious spare technique to

Connect MATLAB - Optimization Toolbox™ to the AMPL API for MATLAB

This package (AMPL interface to Optimization Toolbox) connects MATLAB – Optimization Toolbox™ to the AMPL API for MATLAB (version 1.3 or higher). It provides an interface to Optimization Toolbox