MATLAB TIPS

UAV Toolbox Interface for Unreal Engine Projects
MATLAB Central - File Exchange - rating:4.5 (RSS)

UAV Toolbox Interface for Unreal Engine® Project allows you to co-simulate autonomous flight algorithms with Simulink® in a 3D environment using custom scenes created in Unreal Editor. This simulation environment uses the Unreal Engine by Epic Games®. You will be able to use the custom scenes to simultaneously simulate in both Unreal Engine and Simulink. By using this co-simulation framework, you can add vehicles and sensors to a Simulink model then simulate and visualize in your custom scene.

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MATLAB TIPS

export_fig
MATLAB Central - File Exchange - rating:4.9 (RSS)

This function saves a figure or single axes to one or more vector and/or bitmap file formats, and/or outputs a rasterized version to the workspace, with the following features: Figure/axes reproduced as it appears on screen Cropped/padded borders (optional) Embedded fonts (vector formats) Improved line and grid line styles Anti-aliased graphics (bitmap formats) Render images at native resolution (optional for bitmap formats) Transparent background supported (pdf, eps, png, tiff, gif) Semi-transparent patch objects supported (png, tiff) RGB, CMYK or grayscale output (CMYK only with pdf, eps, tiff) Variable image compression, including lossless (pdf, eps, jpg) Optional rounded line-caps (pdf, eps) Optionally append to file (pdf, tiff, gif) Vector formats: pdf, eps, emf, svgBitmap formats: png, tiff, jpg, bmp, gif, clipboard, export to workspace XKCD hand-drawn rendering style optionThis function is especially suited to figures...

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MATLAB TIPS

Deep Learning Toolbox Model for ResNet-18 Network
MATLAB Central - File Exchange - rating:4.9 (RSS)

ResNet-18 is a pretrained model that has been trained on a subset of the ImageNet database. The model is trained on more than a million images, and can classify images into 1000 object categories (e.g. keyboard, mouse, pencil, and many animals). Opening the resnet18.mlpkginstall file from your operating system or from within MATLAB will initiate the installation process for the release you have. This mlpkginstall file is functional for R2018a and beyond. Use resnet18 instead of imagePretrainedNetwork if using a release prior to R2024a.Usage Example: % Access the trained model[net, classes] = imagePretrainedNetwork("resnet18");% See details of the architecturenet.Layers% Read the image to classifyI = imread('peppers.png');% Adjust size of the imagesz = net.Layers(1).InputSizeI = I(1:sz(1),1:sz(2),1:sz(3));% Classify the image using ResNet-18scores = predict(net, single(I));label =...

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MATLAB TIPS

MATLAB Coder Support Package for NVIDIA Jetson and NVIDIA DRIVE Platforms
MATLAB Central - File Exchange - rating:4.9 (RSS)

MATLAB Coder Support Package for NVIDIA® Jetson® and NVIDIA DRIVE™ Platforms automates the deployment of MATLAB algorithms and Simulink® models on embedded NVIDIA platforms by building and deploying the generated code on the target hardware board. It enables you to remotely communicate with the NVIDIA target and control the peripheral devices for prototyping and testing purposes.When used with GPU Coder, you can generate and deploy optimized CUDA® applications for deep learning, embedded vision, and radar and signal processing algorithms. For high performance, the generated code can call NVIDIA® TensorRT®.When used with MATLAB Coder, you can generate and deploy optimized C/C++ applications for deep learning, embedded vision, and radar and signal processing algorithms onto the ARM Cortex-A cores of the Jetson. GPU Coder is not required when using this workflow.When...

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MATLAB TIPS

‌Mixed-Signal Blockset Models
MATLAB Central - File Exchange - rating:4.5 (RSS)

The Mixed-Signal Blockset™ Models provide additional models and examples of typical systems such as PLL, ADC, SerDes, and SMPS highlighting analog/digital integration. The add-on includes tutorials for getting started, and integration examples with different products such as Stateflow, HDL Verifier, and Simscape Electronics.This add-on is functional for R2019a and beyond. If you have download or installation problems, please contact Technical Support - www.mathworks.com/contact_ts

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MATLAB TIPS

‌FSDA - Flexible Statistics Data Analysis toolbox
MATLAB Central - File Exchange - rating:5.0 (RSS)

![GitHub top language]( release (latest by date)]( code size in bytes]( FSDA on File Exchange]() [![DOI]( Status]( contributors]( commits since latest release]( in MATLAB Online]()## 🤝 SupportContributions, issues, feature requests and sponsorship are all welcome!Give a ⭐️ if you like this project!# [Flexible Robust Statistics Data Analysis]()## FSDA release 2026a is out. (June 2026)| New Features and Changes || --- || [Release notes (HTML file)]()| Release notes (YouTube video) | ## FSDA release 2025b is out. (December 2025)| New Features and Changes || --- || Release notes (YouTube video) | In order to run the new features run the file below and enjoy!!!| FileName | View :eyes:| Run ▶️ | Jupiter notebook || -------- | ---- | --- | ---- ||`New_features_FSDA2025b`: examples with the new features | [![File Exchange]() | [![Open in MATLAB Online]() | [New_features_FSDA2025b.ipynb]() |## Running Examples on MATLAB OnlineGet started with some example scripts right away using MATLAB Online. You can view or run each of the examples listed below. Sample data are downloaded when executing the scripts.FSDA has a series of functions which complement those of the Statistics and Machine Learning toolbox.### **Exploratory data analysis** | Name | Analysis Type | View :eyes: | Run ▶️|| --- | --- | --- | --- || Missing data analysis. Discover any structure of missing observations in the data and produces a report about lower and upper univariate outliers. | Call to function [mdpattern]() | [![File Exchange]() | [![Open in MATLAB Online]() | Compare robust and non robust indexes. Create histograms with grouping variable and clickable legend. | Call to functions [grpstatsFS](), [histFS]() and [clickableMultiLegend]() | [![File Exchange]() | [![Open in MATLAB Online]() || Label the outliers in the boxplots | Call to function [add2boxplot]()| [![File Exchange]() | [![Open in MATLAB Online]() |---### **Interactive Principal component analysis non robust/robust** | Name | Analysis Type | View :eyes: | Run ▶️|| --- | --- | --- | --- ||**Automatically show the plots of variance explained, correlations with PCA and outlier map to find and produce a GUI written with App designer to show in an interactive way different types of biplots.** Row and column points associated with arrows can be hidden or shown. The sign of the PCs can be interactively changed. The points can be shown with a color which is proportial to the othogonal distance to the space of the first 2 PCs. This enables us to immediately understand which are the units that are not well represented in the subspace formed by the first two PCs | Call to function [pcaFS]() | [![View on File Exchange]() | [![Open in MATLAB Online]() ||**Interactive brushing in the space of the first two PCs.** It is possible to brush a region in the biplot of the first two PCs and see the units shown in the original scatter plot matrix. Moreover if the units are are geographical coordinates and the latitude and longitude is given the geobubble plot is automatically shown. | Call to function [biplotFS]() | [![View on File Exchange]() | [![Open in MATLAB Online]() | **Robust principal component analysis.** It is possible to use different robust methods to find a subset of clean units. For examples both the use of MCD with a level of trimming set by the user or the forward search fixing the proportion of units to use or to have an automatic outlier detection procedure. | Call to function [pcaFS]() with option robust set to true. | [![View on File Exchange]() | [![Open in MATLAB Online]() |---### **Interactive Correspondence analysis non robust/robust** | Name | Analysis Type | View :eyes: | Run ▶️|| --- | --- | --- | --- || **Correspondence analysis (traditional and robust).** It is possible to automatically obtain the, singular values, the inertia, explained, and cumulative. For Row and Column Points we automatically show, for each dimension: the scores `Scores`, the Contribution of...

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MATLAB TIPS

200 colormaps
MATLAB Central - File Exchange - rating:4.8 (RSS)

See the demos in package.Citations & AcknowledgementsHunter, J. D. (2007). Matplotlib: A 2D graphics environment. Computing in Science & Engineering, 9(3), 90–95.Bury, T. (2023). scicomap: Scientific colormaps for Python. der Velden, E. (2020). CMasher: Scientific colormaps for Python. , F. (2018). Scientific colour maps. Zenodo. , K. M., Greene, C. A., Hetland, R. D., Zimmerle, H. M., & DiMarco, S. F. (2016). True colors of oceanography. Oceanography, 29(3), 10-11. , P. (2015). *Good Colour Maps: How to Design Them*. arXiv:1509.03700Glasbey, C. A., van der Heijden, G. W. A. M., Toh, V. F. K., & Gray, A. (2007). Colour displays for categorical images. *Color Research & Application*, 32(4), 304–309. , M. (2023). palettable: Color Palettes for Python [Computer software]. Retrieved from https://github.com/ThomasBury/scicomapvanhttps://cmasher.readthedocs.io/Cramerihttps://doi.org/10.5281/zenodo.1243862Thynghttps://doi.org/10....

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