This package represents the MATLAB Installer add-on for the FREE of cost, NXP’s Model-Based Design Toolboxes.
ダウンロード: 21
更新 2024/4/26


Following are the steps to install NXP’s Model-Based Design Toolbox for LAX Accelerator:
1. Press the Open Installer Guide button in Getting Started live script or run NXP_Support_Package_LAX command, and follow the next quick steps as guided by the installer.
2.1 Create an account with NXP (toolbox is for free but account is requested to download the tool and access training & support on NXP Model Based Design Toolbox Community).
2.2. Download NXP Model-Based Design Toolbox for LAX
2.3. Install the toolbox
2.4. Verify the correct installation
2.5 Generate a free of charge license
2.6. Activate the toolbox
2.7 Verify the license activation
The NXP's Model-Based Design Toolbox is a quick solution for testing and rapid prototyping applications on top of NXP MCUs.
It provides an integrated development environment and toolchain support for designing applications in MATLAB, simulating and testing MATLAB models for S32R45 MPUs, generating the application code and deploying the application directly from MATLAB.
This toolbox includes integrated Simulink embedded target for NXP S32R45, and support for executing RSDK LAX kernels in MATLAB.
Main Features:
- Support for ARM Cortex-A53 core and NXP LAX accelerator.
- Fully integrated with MATLAB Toolchain.
- Includes MATLAB API for RSDK LAX Operators, highly optimized for LAX accelerator.
- Supports download via Ethernet.
- Ready to run examples for all supported LAX kernels
Visit https://community.nxp.com/community/mbdt - for examples and support.


NXP Model-Based Design Toolbox Team (2024). NXP_Support_Package_LAX (https://www.mathworks.com/matlabcentral/fileexchange/133612-nxp_support_package_lax), MATLAB Central File Exchange. 取得済み .

MATLAB リリースの互換性
作成: R2021a
R2021a 以降のリリースと互換性あり
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バージョン 公開済み リリース ノート

Release MBDT for LAX 1.2.0


In this new version of MBDT for LAX we have added support for additional RSDK LAX kernels, extended support for MATLAB to R2023b and included additional examples for Radar processing.