Analytic and Computational Approaches to Tackling Uncertainties in Spatio-Temporal Systems

解决时空系统不确定性的分析和计算方法

• 批准号: 9711590
• 负责人: Nirmal Bose
• 金额: $ 10万
• 依托单位: Pennsylvania State Univ University Park
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-10-01 至 2000-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9711590&HistoricalAwards=false
• 关键词: Analytic; Computational; Approaches; Tackling; Uncertainties

ECS-9711590 Bose Robustness property is crucial in the performance evaluation spatio-temporal systems used to process analog video signals, multidimensional transform-based coding and in multidimensional filtering for picture quality improvement. This project will promote collaboration between the scientists in Mexico who are developing constructive methods for the robust stability analysis of nonaffine families of multivariate polynomials and their counterparts in U.S.A. who will be involved in, first, obtaining generalizations to the multidimensional case of their deterministic and probabilistic approaches to, respectively, the robust wavenumber response and worst-case robust stability analysis problems and, second, the application of these results in image filtering based on classical as well as neurocomputing.

ECS-9711590 Bose 鲁棒性在用于处理模拟视频信号的时空系统的性能评估、基于多维变换的编码以及用于改善图像质量的多维滤波中是至关重要的。 该项目将促进墨西哥科学家与美国同行之间的合作，墨西哥科学家正在为多元多项式的非仿射族的鲁棒稳定性分析开发建设性方法，美国同行将参与，首先，获得其确定性和概率方法的多维情况的推广，分别用于鲁棒波数响应和最坏情况鲁棒稳定性分析问题，第二，这些结果在基于经典和神经计算的图像滤波中的应用。