Control Ryze Tello drones from MATLAB and acquire sensor and image data

Use NI-845x I2C/SPI devices to connect to your chips, circuit boards, sensors.

Acquire and analyze data from Analog Devices ADALM1000 devices.

Debug and test HDL code on Intel FPGAs and SoC FPGAs

Build simulation scenarios from real-world vehicle data recorded from GPS, IMU, camera, and lidar sensors

Pretrained NasNet-Large network model for image classification

Control instruments using Rohde & Schwarz VISA (R&SVISA)

Tools to compile a real-time application that runs on a Speedgoat target computer

Pretrained NasNet-Mobile network model for image classification

Pretrained EfficientNet-b0 model for image classification

Generate testbenches for ASIC and advanced FPGA designs

A toolbox to encode/decode JSON and UBJSON files in MATLAB/Octave

A toolbox for processing electrophysiological data

Determine if the current version satisfies a version restriction

Use GPU Coder to generate optimized CUDA code for deep learning networks

Pretrained DarkNet-19 network model for image classification

Pretrained BERT-Base Network for MATLAB

Gray terrain basemap data for geographic visualization

Gray land, white water basemap data for geographic visualization

Build simulation scenarios from real-world vehicle data recorded from GPS, IMU, camera, and lidar sensors