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Export and Share Visualizations
Directly export publication-quality graphics to use in papers, posters, and presentations. Save plots interactively using options on the charts themselves, or programmatically using dedicated functions. Save visualizations as images or as vector graphics files, including PDF, EPS, and PNG.
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 signal 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 signal processing products, you can:
Acquire, measure, and analyze signals 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 signal 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 signal processing products, you can:
Acquire, measure, and analyze signals 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 signal processing products help you analyze signals from a range of data sources. You can acquire, measure, transform, filter, and visualize signals without being an expert in signal processing theory. You can apply signal processing tools to:
Preprocess and filter signals prior to analysis.
Explore and extract features for data analytics and machine learning applications.
Analyze trends and discover patterns in signals.
Visualize and measure time and frequency characteristics of signals.
Converting MATLAB Code to C/C++
You can convert your MATLAB algorithms into C/C++ code using MATLAB Coder™. The generated C code is readable and portable, with support for most of the MATLAB language and a wide range of toolboxes.
Image Processing and Computer Vision
Examples: webcams, Raspberry Pi, Kinect for Windows
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