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MATLAB® helps you obtain deeper scientific or clinical insights by giving you the ability to analyze ever increasing amounts of data. Scientists and engineers use MATLAB for experimental approaches such as microscopy and biomedical imaging, electrophysiology, and genomics and next generation sequencing, or for modeling and simulation such as pharmacology and systems biology.
MATLAB enables you to access datasets from a wide variety of sources including databases, custom file formats, and web services; apply leading-edge analysis methods to your **, image, video, molecular, and other datasets; and automate your experimental or theoretical set-up with customized analysis. With MATLAB, you can:
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.
Efficient IC Verification
MATLAB and Simulink products enable collaboration and integration of analog and digital design and verification teams, enabling faster and higher-quality IC designs. Engineers can use a single design environment that combines control logic, state machines, and analog and digital components that are traditionally modeled at different levels of fidelity and in different design environments. MATLAB and Simulink allow the reuse of system-level models and test benches through HDL cosimulation, or as SystemVerilog DPI components that can be exported to an EDA verification environment such as Mentor Graphics ModelSim and Questa, Cadence Incisive, and Synopsys® VCS®.
MATLAB 将适合迭代分析和设计过程的桌面环境与直接表达矩阵和数组运算的编程语言相结合。
科学软件网不定期举办各类公益培训和讲座,让您有更多机会免费学习和熟悉软件。
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