Abstract: Radio frequency electromagnetic interference is a relatively common phenomenon, especially for synthetic aperture radar (SAR) systems working in P- or L-band. Compared with the suppression ...

Abstract: In many applications in wireless communications, we need to recover a structured sparse signal from a linear measurement model with uncertain sensing matrix. There are two challenges of ...

Analog compute-in-memory combines compute and storage using crossbar arrays of non-volatile memory, thus promising to reduce the energy demand for artificial intelligence workloads. Yet, significant ...

NRL1 is a robust sparse recovery model with l_1 -norm fidelity, which can well restore the sparse image, or image with sparse representation on some basises. In the experiment, as in 26, the sensing ...

We introduce the heat method for solving the single- or multiple-source shortest path problem on both flat and curved domains. A key insight is that distance computation can be split into two stages: ...

The integration of multi-omics data, including genomics, transcriptomics, proteomics, and metabolomics, has revolutionized our understanding of complex biological processes. This topic is centered ...

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