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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
Rapid prototyping provides a fast and inexpensive way for control and ** processing engineers to verify designs early and evaluate design tradeoffs. MathWorks rapid prototyping products automate much of the time-consuming work involved by enabling you to:
Test new system designs and algorithms on hardware in real time
Perform design iterations in minutes rather than weeks
Focus on innovation
**数以百万计的和科学家使用 MATLAB? 来分析和设计可改变世界的系统和产品。MATLAB 广泛应用于汽车主动安全系统、行星际宇宙飞船、健康设备、智能电网和 LTE 蜂窝网络。它用于机器学习、信号处理、图像处理、计算机视觉、通讯、计算金融学、控制设计、机器人学等等。
Live Editor
使用 Live Editor 改变您在 MATLAB 中的工作方式（在 R2016a 中引入）。
查看结果以及代码
添加方程式、图像、**链接以及格式化文本
使用交互式文档展示、分享和协作
App Designer
使用 App Designer，用增强的设计环境和经过扩充的 UI 组件集开发 MATLAB 应用（在 R2016a 中引入）。
获取数据？
在 MATLAB 中使用它变得更*
MATLAB Online
通过 Web 浏览器访问 MATLAB
教学及便捷访问的理想选择
大多数许可证均可使用
图形
体验新的 MATLAB 图形系统（在 R2014b 中引入）。
新默认值更加*解释绘图
新图表类型（直方图、较坐标图、函数绘图、
用日期时间和分类数据绘图
其他自定义选项
性能
使用重新设计的 MATLAB 执行引擎，更快地运行您的程序（在 R2015b 中引入）。
隐式扩展
元素级运算符和函数可隐式地将它们的输入扩展为相同大小
在脚本中定义函数
在脚本中定义本地函数，改进代码重用性和可读性
Discrete-event simulation with SimEvents® provides capabilities for analyzing and optimizing event-driven communication using hybrid system models, agent-based models, state charts, and process flows.
Within this integrated modeling and data analysis environment, you can:
Design distributed control systems, hardware architectures, and sensor and communication networks for aerospace, automotive, and electronics applications
Model process flows, perform capacity planning, and optimize supply chains for manufacturing and operations
Analyze and optimize end-to-end latencies, throughput, packet loss, and other performance characteristics of communication networks
Customize queues, routing algorithms, processing delays, and prioritization schemes
Simulate hybrid systems containing time-based, event-based, and agent-based components
Simulate event-driven processes, such as mission plans with autonomous agents or the stages of a manufacturing process
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