As artificial intelligence (AI) and the Internet of Things (IoT) drive explosive data growth at the edge, compressed sensing (CS) is a key technique that reduces the hardware burden by sampling less ...

Orthogonal Matching Pursuit (OMP) represents a cornerstone algorithm within the realm of compressive sensing, enabling the efficient reconstruction of sparse signals from substantially reduced data ...

The recent development in the utilization of flexible optical fiber sensors and the prospective application scenarios were then summarized, which encompass human activity monitoring and healthcare, ...

The need for advanced material sensing in applications like medical and industrial. How SWIR devices address material sensing. The continued expansion of intelligent systems in every aspect of society ...