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Model-Based Design enables medical device engineers to introduce and integrate agile approaches into their existing software development workflows by cleanly separating the design phase from the implementation steps.
Using Model-Based Design, you can:
Model and simulate algorithms and entire systems before implementation
Verify and validate the designs thoroughly at a higher-level abstraction
Prototype design and create proofs-of-concept by automatically generating C or HDL code
Produce customizable reports that can be used as evidence of regulatory compliance
Prove your code is safe under all possible run-time conditions using static analysis
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MATLAB 实现深度学习
设计、构建和可视化卷积网络
只需要几行 MATLAB® 代码,*成为,您就能构建深度学习模型。了解如何使用 MATLAB 帮助您执行深度学习任务。
易于访问新的模型,包括 GoogLeNet、 VGG-16、 VGG-19、AlexNet、ResNet-50、ResNet-101 和 Inception-v3
。
加速 NVIDIA® GPU、云和数据中心资源上的算法,而*编程。
使用 MATLAB 应用程序和可视化工具,创建、修改和分析复杂的深度网络架构。
使用应用程序自动进行图像、视频和音频数据的真实值 (ground-truth) 标注。
处理来自 Caffe 和 TensorFlow-Keras 的模型。
MATLAB 支持 ONNX™,所以您可以使用 PyTorch 和 MxNet 之类的框架与同事协作。
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硬件原型设计和实现
系统架构师和硬件可在每个任务中使用和共享相同的 Simulink 模型。这些硬件模型可自动生成可读、可综合的 HDL 代码 用于FPGA、SoC和ASIC实现。系统架构师可以使用常用的 FPGA 和软件定义无线电套件构建原型,硬件则可以将这些模型重新用于生产部署。
HDL 优化的 LTE IP 模块和经验证的参考应用程序可帮您提高 LTE 系统的性能并缩短开发时间。
测试和验证
MATLAB 和 Simulink 可在硬件实现之前自动执行测试,以验证你的设计功能。
将经验证的模型作为测试平台来验证硬件原型和生产实现。您可以使用一系列 SDR 硬件和射频仪器来测试设计;自动生成用于 ASIC 验证的 SystemVerilog 模型;并有效分析来自仿真、实验室测试和现场试验的大型数据集。
Signal processing is essential for a wide range of applications, from data science to real-time embedded systems. MATLAB® and Simulink® products make it easy to use ** processing techniques to explore and analyze time-series data, and they provide a unified workflow for the development of embedded systems and streaming applications.
With MATLAB and Simulink ** processing products, you can:
Acquire, measure, and analyze **s from many sources.
Design streaming algorithms for audio, smart sensor, instrumentation, and IoT devices.
Prototype, test, and implement DSP algorithms on PCs, embedded processors, SoCs, and FPGAs.
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Behavioral Analog/Mixed-Signal Design
Modeling and simulating analog/mixed-** systems in circuit-level tools is time consuming and limits the number of design alternatives engineers can evaluate. By contrast, MATLAB and Simulink provide a higher level of design abstraction and faster modeling and simulation, which enables engineers to quickly evaluate numerous design options.
Semiconductor engineers use MATLAB and Simulink models as golden references when they create transistor-level circuit models. These MATLAB and Simulink models integrate with analog/mixed-** design tools such Cadence® Virtuoso® AMS Designer, and can also be used as behavioral verification models in production SystemVerilog test environments.
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