A team of researchers headed by Professor Sun Zhong at Peking University recently unveiled an analog hardware approach for real-time compressed sensing recovery. Their findings have been documented in a paper recently published in Science Advances.
In this work, a design based on a resistive memory (also known as memristor) array for performing instantaneous matrix-matrix-vector multiplication (MMVM) is first introduced. Based on this module, then an analog matrix computing circuit that solves compressed sensing (CS) recovery in one step (within a few microseconds) is disclosed.
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