Pushing compressed sensing to real-time edge applications
Recently, a research team led by Prof. Sun Zhong at Peking University reported an analog hardware solution for real-time compressed sensing recovery, which has been published as an article titled "In-memory analog solution of compressed sensing recovery in one step" 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 few microseconds) is disclosed. CS ...
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