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Found 2 papers, 1 papers with code
Deep Task-Based Analog-to-Digital Conversion
In this work we design task-oriented ADCs which learn from data how to map an analog signal into a digital representation such that the system task can be efficiently carried out.
Deep-Learning Based Adaptive Ultrasound Imaging from Sub-Nyquist Channel Data
Traditional beamforming of medical ultrasound images relies on sampling rates significantly higher than the actual Nyquist rate of the received signals.
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