Albert Ai, Alex Lapanowski, Yaniv Plan, Roman Vershynin
TL;DR本研究通过使用次高斯分布的单比特测量,结合凸程序解决方案,可以精确地重建几乎稀疏的信号。
Abstract
In one-bit compressed sensing, previous results state that sparse signals may
be robustly recovered when the measurements are taken using Gaussian random
vectors. In contrast to standard compressed sensing, these