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RL-NCS: Reinforcement learning based data-driven approach for nonuniform compressed sensing

By Nazmul Karim and others
A reinforcement-learning-based non-uniform compressed sensing (NCS) framework for time-varying signals is introduced. The proposed scheme, referred to as RL-NCS, aims to boost the performance of signal recovery through an optimal and adaptive distribution of sensing energy among two groups of coefficients of the signal, referred to as the region of... Show more
July 2, 2021
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RL-NCS: Reinforcement learning based data-driven approach for nonuniform compressed sensing
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