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Matlab在数字信号处理中的应用
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.
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.
Signal Analysis for Everyone
MATLAB and ** processing products help you analyze **s from a range of data sources. You can acquire, measure, transform, filter, and visualize **s without being an expert in ** processing theory. You can apply ** processing tools to:
Preprocess and filter **s prior to analysis.
Explore and extract features for data analytics and machine learning applications.
Analyze trends and discover patterns in **s.
Visualize and measure time and frequency characteristics of **s.
Process out-of-memory data sets using tall arrays, which overload hundreds of functions throughout the data analysis workflow to operate on out-of-memory data.
Interactively annotate titles, axis labels, and data tips to convey and highlight necessary information. Then automatically generate the corresponding MATLAB code to reproduce your work and add it to your with a push of a button.
从 MATLAB 生成代码
从 MATLAB 生成 C、C++、CUDA 和 HDL 代码,只需三个迭代步骤。从任意位置运行和部署代码,台式机、移动设备或嵌入式系统均可。MATLAB Coder 可以随着设计的推进自动生成新代码,*手工编码。这样可以加速并实现更多的设计迭代。
您可以将生成的代码作为源代码、静态库或动态库,集成到桌面或云端中脱离 MATLAB 环境运行的应用程序。您还可以将生成的代码打包成 MEX 函数并直接在 MATLAB 中使用。
从 Simulink 生成代码
使用 Embedded Coder®,将您的模型转换为高质量源代码和可执行文件,从而实现原型设计和生产。既可使用默认 C 和 C++ 设置,也可使用 SIMD 指令、数据存储类及内存区段代码放置进行优化以实现更高性能。生成 ANSI/ISO C/C++、MISRA-C 或 AUTOSAR 源代码,插入运行时系统。或者,生成完整的交钥匙可执行文件,自动下载并在您的自定义硬件设备上运行。
使用双向可追踪链接,检查模型的生成代码,或使用代码、数据、函数接口和代码指标,生成报告。
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