NXP_Support_Package​_HCP

Versione 1.3.0 (651 KB) da NXP Model-Based Design Toolbox Team
This package represents the MATLAB Installer add-on for the FREE of cost, NXP’s Model-Based Design Toolboxes.
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Aggiornato 10 set 2024

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Following are the steps to install NXP’s Model-Based Design Toolbox for HCP Series:
1. Run NXP_Support_Package_HCP script and follow the next quick steps as guided by the installer:
1.1 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).
1.2. Download NXP Model-Based Design Toolbox for HCP Processors
1.3. Install the toolbox
1.4. Verify the correct installation
1.5. Generate a free of charge license
1.6. Activate the toolbox
1.7. 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 configuring and generating applications.
This toolbox includes integrated Simulink embedded target for NXP High-performance Computing Platforms: S32G2xx, S32G3xx, S32R41x, and S32S2xx.
HCP Model-Based Design Toolbox Main Features:
- PIL support, and PIL examples
- Code execution profiling
- Ready to run examples for all supported targets
Visit https://community.nxp.com/community/mbdt - for examples and support

Cita come

NXP Model-Based Design Toolbox Team (2024). NXP_Support_Package_HCP (https://www.mathworks.com/matlabcentral/fileexchange/101378-nxp_support_package_hcp), MATLAB Central File Exchange. Recuperato .

Compatibilità della release di MATLAB
Creato con R2021a
Compatibile con R2021a e release successive
Compatibilità della piattaforma
Windows macOS Linux

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Versione Pubblicato Note della release
1.3.0

Compatible with MATLAB R2021a-R2023b
MCU Package Support: S32G399A, S32R418 Cut 1.1
S32G2/S32G3: C++ code generation
S32R41: Core frequency increased to 800 MHz, PIL code execution profiling
1.2.0

Generic:
- (Update) Compatible with MATLAB R2020a - R2022b
- (Update) Documentation and help

MCU Package support:
- (Update) S32R41
1.1.0

Added new target support: S32R41
Expanded MATLAB support to R2020a-R2021b
Added various demos (e.g. MFSK radar range and speed estimation on multiple targets example)
1.0.0