How is MATLAB used in signal processing?

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 MATLAB uses for signal processing.

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

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.

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