## Compressed Sensing and Sigma-Delta Quantization

講者： |
馮若梅 博士 |

時間： |
2018-09-13 (Thu) 10:30 - 12:00 |

地點： |
資創中心122演講廳 |

邀請人： |
呂俊賢 |

**Abstract:**

This talk concerns about the recovery error of a quantized compressed sensing problem. More specifically, Sigma-Delta quantization will be used through out this talk, and restricted isometry property (RIP) is used as the criterion on compressed sensing matrices. The situations on using sub-gaussian partial random circulant matrices as compressed sensing matrices will be discussed. Results on partial random Fourier matrices will be given.

**Bio:**