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Signal measurements and analysis

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Signal processing model-based design

Signal processing systems can be designed using a combination of language-based programming and block diagrams. MATLAB supports the application of model-based design for signal processing systems. You can use it for modeling, early verification, simulation, and code generation. The libraries of blocks with application-specific algorithms support:

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In addition, you can also use virtual scopes like logic and spectrum analyzers, eye diagrams, and constellations to visualize live signals during simulations.

Embedded code generation

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Building predictive models for signal processing applications

MATLAB also allows engineers to develop predictive models for signal processing applications. To extract machine learning systems' features, one can exploit built-in signal processing algorithms. It can also help you work with big datasets for annotating signals, augmenting, and ingesting when creating deep learning applications.

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