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硬件原型设计和实现
系统架构师和硬件工程师可在每个任务中使用和共享相同的 Simulink 模型。这些硬件精确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,硬件工程师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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Access and Analyze Data
MATLAB data analysis products let you access, visualize, and analyze data within a single environment. You can interactively explore data, build customized analyses, and share your discoveries with others through reports, published code, 3D visualizations, or as complete applications.
Develop Machine Learning Algorithms
Machine learning algorithms use computational methods to "learn" information directly from data without assuming a predetermined equation as a model. They can adaptively improve their performance as you increase the number of samples available for learning. Machine learning algorithms are used in applications such as speech and facial recognition. They are used in big data applications that have large datasets with many predictors (features) and are too complex for simple parametric models.
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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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**数以百万计的工程师和科学家使用 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、健康监控设备、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。
技术计算语言
**数以百万计的工程师和科学家使用 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、健康监控设备、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。
数学、图形、编程
MATLAB 平台为解决工程和科学问题进行了优化。基于矩阵的 MATLAB 语言是世界上自然的计算数学表示方法。内置图形使得可视化和洞察数据变得简单易行。大量的预制工具箱库可让您即刻开始使用对您的应用领域至关重要的算 法。桌面环境鼓励试验、探索和发现。这些 MATLAB 工具和功能全部经过严格测试,并为相互协同工作而定制。
扩展、集成、部署
MATLAB 帮助您让想法追赶桌面的限制。您可以对大型数据集运行分析,并扩展到集群和云。MATLAB 代码可以与其他语言集成,从而允许您将算法和应用程序部署在 Web、企业和生产系统内。
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