Estimation for Stochastic Inverse Problems

随机反问题的估计

• 批准号: 8722463
• 负责人: Donald Snyder
• 金额: $ 33.58万
• 依托单位: Washington University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1988
• 资助国家: 美国
• 起止时间: 1988-08-01 至 1992-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8722463&HistoricalAwards=false
• 关键词: Estimation; Stochastic; Inverse; Problems

Stochastic inverse problems arise when a blurred version of a desired signal or image influences the statistics of a random process that models measured data. Examples include the quantum- limited imaging of radioactive tracers in the body, imaging gamma-ray sources in astronomy, and forming images in low-light photography. A joint group research program is being pursued with Alan Karr at the Johns Hopkins University to investigate new algorithms for these problems. Identifying algorithms which map onto highly parallel computational architectures is an important objective of the research.

当期望信号或图像的模糊版本影响对测量数据建模的随机过程的统计时，随机逆问题就产生了。例如，体内放射性示踪剂的量子限制成像，天文学中的伽马射线源成像，以及微光摄影中的成像。约翰·霍普金斯大学的艾伦·卡尔正在进行一项联合小组研究计划，以研究解决这些问题的新算法。识别映射到高度并行计算体系结构上的算法是该研究的一个重要目标。