Learning Based Reconfigurable Sub-Nyquist Sampling Framework For Ultra-Wideband Angular Sensing

In this work, an intelligent and reconfigurable ultra-wideband angular sensing (UWAS) framework is proposed which is independent of the maximum number of active transmissions in a wideband spectrum unlike the existing UWAS methods. To perform the above ta
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