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Low-Complexity Fixed-Point Convolutional Neural Networks For Automatic Target Recognition

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IEEE ICASSP 2020 Virtual Conference May 2020

There has been growing interest in developing neural network based automatic target recognition systems for synthetic aperture radar applications. However, these networks are typically complex in terms of storage and computation which inhibits their deplo

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Low-Complexity Fixed-Point Convolutional Neural Networks For Automatic Target Recognition

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There has been growing interest in developing neural network based automatic target recognition systems for synthetic aperture radar applications. However, these networks are typically complex in terms of storage and computation which inhibits their deplo