109 skills found · Page 1 of 4
matlab / Matlab MCP Core ServerRun MATLAB® using AI applications with the official MATLAB MCP Server from MathWorks®. This MCP server for MATLAB supports a wide range of coding agents like Claude Code® and Visual Studio® Code.
mathworks / AUV Modeling And SimThis submission contains the files used in this video on modeling, simulation and control of an Autonomous Underwater vehicle - https://www.mathworks.com/videos/modeling-and-simulation-of-an-autonomous-underwater-vehicle-1586937688878.html. This submission models a 6-DoF autonomous underwater vehicle (AUV) and a position and velocity controller for the AUV. You can switch between low and high fidelity sensor and environment models based on your application needs.
ThunderMat / Introduction To MCU Programming For Power Electronics Control ApplicationsThis repository contains the MATLAB/Simulink source code to reproduce the experiments presented in the book: "Introduction to Microcontroller Programming for Power Electronics Control Applications"
alexandrebarachant / Kaggle Seizure Prediction Challenge 2016Code and documentation for the winning solution to the Melbourne University AES/MathWorks/NIH Seizure Prediction challenge on kaggle
matlab-actions / Setup MatlabSet up your GitHub Actions workflow with a specific version of MATLAB.
analogdevicesinc / MathWorks ToolsScripts and tools created by ADI to be used with MATLAB and Simulink with ADI products
MathworksProjects / MmWave MU MIMOThe project represents the main code for the proposed cross-layer Dynamic sub-array scheduling for 5G applications, in collaboration with Mathworks inc.
matlab-actions / .githubAutomate your workflows with GitHub actions for MATLAB.
princeedey / BRAIN TUMOR DETECTION AND SEGMENTATION USING MRI IMAGESThis repository contains the source code in MATLAB for this project. One of them is a function code which can be imported from MATHWORKS. I am including it in this file for better implementation.Detection of brain tumor was done from different set of MRI images using MATLAB. The concept of image processing and segmentation was used to outline the tumor area in the given set of images.
mathworks-ref-arch / Container ImagesMathWorks container images on Docker Hub
matlab-actions / Run CommandRun MATLAB scripts, functions, and statements.
demartis / Matlab Runtime DockerDocker image to run compiled MATLAB applications or components without installing MATLAB. No required MathWorks license
kyamagu / Matlab JsonUse official API: https://mathworks.com/help/matlab/json-format.html
matlab-actions / Run TestsRun MATLAB and Simulink tests and generate artifacts.
semiluna / TangoYou are tasked with the development of an autonomous drone delivery system for light-weight package transportation around the West Cambridge site. By using high-fidelity drone models from the new MathWorks UAV Toolbox, you will develop an autonomous ground control system that coordinates one (or more!) drones around the site. Consider how to incorporate path and task planning, motor and plant control, and sensing & perception for navigation and obstacle avoidance. Evaluation in the realistic UE4 simulation will include simulated sensor data from 3D LIDAR readings and simulated camera input.
nasa / DAVEtoolsA Java package, nominally built in NetBeans, that allows use of DAVE-ML simulation models within tools such as Mathwork's Simulink(R) and Matlab(R) products
mathworks / BuildrootThis buildroot fork contains customized recipes for generating AMD-Xilinx SoC and Intel SoC embedded Linux images for use with MathWorks tools.
Naren920421 / Capacity Estimation On The Mathworks 5G NR CDL ModelSingle-link channel capacity estimation on the microwave and millimetre wave frequencies by using the Mathworks 5G NR CDL model for NLOS.
wfpotter / DO178 Case StudyCase study for using MathWorks tools on a DO-178 project
abhilash12iec002 / Penetration Depth Evaluation Of L And S Band SAR SignalsWe study the functional relationship between the dielectric constant of soil-water mixture and penetration depth of microwave signals into the ground at different frequency (L&S) band and incidence angles. Penetration depth of microwave signals into the ground depends on the incidence angle and wavelength of radar pulses and also on the soil properties such as moisture content and textural composition. It has been observed that the longer wavelengths have higher penetration in the soil but the penetration capability decreases with increasing dielectric behaviour of the soil. Moisture content in the soil can significantly increase its dielectric constant. Various empirical models have been proposed that evaluate the dielectric behaviour of soil-water mixture as a function of moisture content and texture of the soil. In this analysis we have used two such empirical models, the Dobson model and the Hallikainen model, to calculate the penetration depth at L- and C-band in soil and compared their results. We found that both of these models give different penetration depth and show different sensitivity towards the soil composition. Hallikainen model is more sensitive to soil composition as compared to Dobson model. Finally, we explore the penetration depth at different incidence angle for the proposed L- and S-band sensor of upcoming NASA-ISRO Synthetic Aperture Radar (NISAR) mission by using Hallikainen empirical model. We found that the soil penetration depth of SAR signals into the ground decreases with the increase in soil moisture content, incident angle and frequency. References [1] A. Singh, G. K. Meena, S. Kumar and K. Gaurav, "Evaluation of the Penetration Depth of L- and S-Band (NISAR mission) Microwave SAR Signals into Ground," 2019 URSI Asia-Pacific Radio Science Conference (AP-RASC), New Delhi, India, 2019, pp. 1-1. doi: 10.23919/URSIAP-RASC.2019.8738217 keywords: {Synthetic aperture radar;Dielectrics;Moisture;Soil moisture;Sensors;Remote sensing}, URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8738217&isnumber=8738126 [2] Singh, A., Meena, G. K., Kumar, S., and Gaurav, K.: ANALYSIS OF THE EFFECT OF INCIDENCE ANGLE AND MOISTURE CONTENT ON THE PENETRATION DEPTH OF L- AND S-BAND SAR SIGNALS INTO THE GROUND SURFACE, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-5, 197-202, https://doi.org/10.5194/isprs-annals-IV-5-197-2018, 2018. [3] ABHILASH SINGH (2019). Penetration depth evaluation at L-and S-band SAR signals (https://www.mathworks.com/matlabcentral/fileexchange/73040-penetration-depth-evaluation-at-l-and-s-band-sar-signals), MATLAB Central File Exchange. Retrieved October 19, 2019.
