Intelligent Electromagnetic Sensing with Learnable Data Acquisition and Processing.

ABSTRACT: Electromagnetic (EM) sensing is a widespread contactless examination technique with applications in areas such as health care and the internet of things. Most conventional sensing systems lack intelligence, which not only results in expensive hardware and complicated computational algorithms but also poses important challenges for real-time in situ sensing. To address this shortcoming, we propose the concept of intelligent sensing by designing a programmable metasurface for data-driven learnable data acquisition and integrating it into a data-driven learnable data-processing pipeline. Thereby, a measurement strategy can be learned jointly with a matching data post-processing scheme, optimally tailored to the specific sensing hardware, task, and scene, allowing us to perform high-qua

SUBMITTER: Li HY 

PROVIDER: S-EPMC7660445 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature