One-bit compressed sensing is an emerging methodology that seeks to recover sparse signals from highly quantised data, where each measurement is reduced to a single bit representing its sign. This ...

If you haven’t come across compressive sensing, you will do soon. It’s a way of sampling and reconstructing an analogue signal at a rate far lower than standard information theory would deem possible.

EECS Ph.D. Student Zhiyi Zhou, Alumnus Xu Chen (Ph.D. 16'), Prof. Dongning Guo, and Prof. Michael L. Honig of the Communications and Networking Lab have won the "Best Paper Award" at 2017 IEEE ...