HDL 就绪模型和示例
使用高层级模块构建设计，仿真算法的硬件实现并生成高质量的 HDL 代码。模块包括数学、三角学、数字信号处理、无线通信，以及视频和图像处理。您可以使用子系统级IP
进行 LTE 无线和视觉处理
Fixed-Point 简化操作
自动实现浮点到**的数据类型转换过程，以便FPGA硬件实现。在资源使用和精确度之间实现平衡。
如果您要实现高精度或高动态范围的计算，或者希望在转换为**之前生成原型，那么可以生成可综合、与目标无关的原生浮点 HDL。
自动执行 FPGA 和 SoC 原型开发
对于 Xilinx®、Intel®、Microsemi® 和 Speedgoat 等深受欢迎的 FPGA 和 SoC 原型开发平台，您只需按下一个按钮，即可生成设备编程所需的一切。原型可以作为独立设备运行，也可以连接到 MATLAB 或 Simulink 进行激励和调试。之后，您可以将其重复用于任何 FPGA、ASIC 或 SoC 上的产品实现。 另外，您还可以为简单的编程设置定制的原型板。
重用模型和测试以进行验证
将 MATLAB Simulink 模型将，以及 Mentor Graphics® 或 Cadence® 仿真器中运行的手写或生成的 HDL 进行联合仿真。然后将这些模型和测试导出为适用于 UVM 或自定义验证环境的 SystemVerilog DPI-C 组件。
AI in Automotive Engineering
Use MATLAB to access and preprocess fleet and vehicle data, build machine learning and predictive models, and deploy models to enterprise IT systems. With MATLAB you can access data stored in files, databases, and the cloud. It helps in exploring modeling approaches using machine learning and deep learning apps and to accelerate algorithms with parallel processing on CPUs, NVIDIA® GPUs, the cloud, and datacenter resources. Automatic conversion of machine learning models to C/C++ code and deep learning models to CUDA® code helps in deployment of trained models or networks to production IT systems, without recoding into another language.
MathWorks is an AUTOSAR Premium Member and actively participates in the development of the standard with focus on the complete application of Model-Based Design with an AUTOSAR development process. Use Simulink and AUTOSAR Blockset™ to design and simulate Classic and Adaptive AUTOSAR systems. Then use Embedded Coder® to generate AUTOSAR code in C for Classic or C++ for Adaptive. Composition authoring with System Composer, as well as, round-trip ARXML-based integrations are supported.
Engineering teams use Model-Based Design with MATLAB® and Simulink® to verify and validate embedded systems. Teams author requirements directly in their models and can then use those models to generate production code for certification.
Author requirements in your model, and verify and trace them to the design, tests, and code.
Prove that your design meets requirements, and automatically generate tests.
Check compliance of models and code using static analysis and formal methods.
Find bugs, security vulnerabilities, and prove the absence of critical run-time errors.
Produce reports and artifacts, and certify to standards (such as DO-178 and ISO 26262).
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