In this work, a novel PID-type adaptive iterative learning control (AILC) method is proposed for a class of nonlinear systems with unspecified control gain matrices and bounded iterative-varying ...
Abstract: Reconstructing visual stimuli from EEG signals is a challenging problem at the intersection of neuroscience and computer vision. We propose MindScryer, a novel framework that leverages ...
This work investigates iterative receiver and code design for protograph-coded overloaded sparse code multiple access (SCMA) systems. As a type of non-orthogonal multiple access (NOMA) technology, ...
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