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Matlab在测试测量中的应用
Acquire, analyze, and explore data and automate tests
The MATLAB® environment for analysis provides the tools you need to acquire data and automate tasks. Within MATLAB and Simulink® you can control and acquire data from plug-in data acquisition boards, test instruments, Web cameras and frame grabbers, as well as send and receive messages over CAN buses.
Once you acquire data, you can interactively explore it and perform live visualization and data analysis. You can then build test systems, verify designs and concepts, and automate repetitive tasks. You can also deploy test applications built in MATLAB onto other computers.
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MATLAB GPU 计算支持可适用
于运行NVIDIA CUDA 的GPU
在支持 NVIDIA CUDA 的GPU 上执行 MATLAB 计算
*成为 CUDA® 程序员,MATLAB® 即可让您能够使用 NVIDIA® GPU 来加速 AI、深度学习和其他计算密集型分析。使用 MATLAB 和 Parallel Computing Toolbox™,您可以:
直接在 MATLAB 中调用 NVIDIA GPU,有 500 多个内置函数可供使用。
使用 MATLAB worker 和 MATLAB Parallel Server™ 访问台式机、计算集群和云上的多GPU。
使用 GPU Coder™ 直接从 MATLAB 生成 CUDA 代码,以便部署到数据中心、云和嵌入式设备。
使用 GPU Coder 从 MATLAB 生成 NVIDIA TensorRT™ 代码,实现低延迟和高吞吐量的推理。
将 MATLAB AI 应用程序部署到配备 NVIDIA GPU的数据中心,与使用 MATLAB Production Server™ 的企业系统集成。
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Matlab在机电一体化的应用
Developing mechatronic systems requires integrating mechanical, electrical, control, and embedded software subsystems. Model-Based Design and MathWorks products enable you to design and simulate all of these domains in a single environment.
Through desktop and real-time simulations, you can:
Predict and optimize system performance
Understand and manage complex system interactions
Detect design inefficiencies and integration errors early during development
Verify and test mechatronic systems such as motor control using fewer hardware prototypes.
Eliminate manual coding errors by automatically generating code from the simulation model
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Electronics engineers rely on MATLAB® and Simulink® to develop smaller, more efficient devices that integrate audio, video, wireless communications, and other features. They use these tools to explore and validate algorithms and system-level designs in hours or days rather than weeks.
By capturing algorithmic and system models in MATLAB and Simulink products, engineers can collaborate more effectively across geographic boundaries and between Signal Processing, analog/mixed-**, and control logic design teams. With these productivity gains, companies can deliver innovative solutions faster.
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