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  6. Deep Learning Applications for Communications and Radar

Deep Learning Applications for Communications and Radar

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last updated:Aug 06, 2020

MathWorks Japan
MathWorks Japan
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This explains how to apply deep learning and machine learning techniques to modulation identification and target classification in communication applications.

MATLAB can be used for modulation identification and target classification, as well as for communication applications. The white paper explains the following: 【Contents】 - Synthesizing radar and communication waveforms for labeling - Generating radar signals for moving objects - Training deep networks with synthetic data - Waveform modulation ID and target classification using deep learning and machine learning - Testing the system with data collected from software-defined radio and radar systems

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Deep Learning Applications for Communications and Radar

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[White Paper] How to Utilize Deep Learning for Communications and Radar

[White Paper] How to Utilize Deep Learning for Communications and Radar

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MathWorks is a leading company in numerical analysis software for engineers and researchers. Engineers and scientists around the world use MathWorks products as tools to accelerate discovery, innovation, and development. Please feel free to contact us if you have any inquiries.

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