5月9日 宋国辉助理教授学术报告

发布时间:2016-05-05

题 目：Function Approximation from Non-uniform Fourier Data

报告人：宋国辉，助理教授，美国克拉克森大学

时 间： 5月9日（周一） 下午4：30-5：30

地 点：南校区336栋旧数学楼104室

报告摘要：
Non-uniform Fourier data are routinely collected in applications such as magnetic resonance imaging (MRI), synthetic aperture radar (SAR), and synthetic imaging in radio astronomy. We will discuss in this talk the approximation of an unknown function from its finite non-uniform Fourier samples. Specifically, we provide a mathematical formulation of this problem through the use of Fourier frames and the development of admissible frames. As a result, a stable and efficient algorithm based on that will also be presented.

报告人简介：
http://people.clarkson.edu/~gsong/