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MATLAB enables undergraduate and graduate students to easily ramp up on data and coding skills for their neuroscience cour*ork and research:
Learn the basics of MATLAB with self-paced courses, getting-started documentation, and other resources.
Complete lessons, homework, and reproducible research using interactive Live Editor documents shareable via MATLAB Online.
Browse a library of neuroscience books, including MATLAB code and instruction, aimed at various levels and areas.
Use MATLAB to teach coding and data skills at neuroscience short courses, boot camps, and workshops. Please contact us to discuss options for your event.
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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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MATLAB® and Simulink® products help engineers design and simulate communications systems with greater speed and accuracy. Using both detailed low-level models as well as higher-level behavioral abstractions, communications engineers can implement the desired level of model fidelity and run-time performance from within a single environment. MATLAB and Simulink streamline design flows by helping engineers to:
Design and simulate communications algorithms and systems using top-down design methodologies
Combine Signal Processing, analog/mixed-**, and RF domains in a single system model
Design, simulate, and verify complex systems using standards such as LTE
Prototype designs with connections to hardware such as USRP® to enable radio-in-the-loop design
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在嵌入式设备上运行
自动将 MATLAB 算法转换为 C/C++ 和 HDL 代码,从而在嵌入式设备上运行。
Run on Embedded Devices
与基于模型的设计集成
MATLAB 与 Simulink 配合以支持基于模型的设计,用于多域仿真、自动生成代码,以及嵌入式系统的测试和验证。
将 MATLAB 用于:
数据分析
探索如何使用 MATLAB 进行大数据、机器学习和生产分析。
无线通信
探索 MATLAB 如何帮助您开发算法和执行全面的无线系统仿真。
MATLAB® makes data science easy with tools to access and preprocess data, build machine learning and predictive models, and deploy models to enterprise IT systems.
Access data stored in flat files, databases, data historians, and cloud storage, or connect to live sources such as data acquisition hardware and financial data feeds
Manage and clean data using datatypes and preprocessing capabilities for programmatic and interactive data preparation, including apps for ground-truth labeling
Document data analysis with MATLAB graphics and the Live Editor notebook environment
Apply domain-specific feature engineering techniques for sensor, text, image, video, and other types of data
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