Dr. Maham Aftab on Modal Integration
Manage episode 247979299 series 2572690
内容由The Spotlight Report提供。所有播客内容(包括剧集、图形和播客描述)均由 The Spotlight Report 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal。
In this weeks episode we sit down with Maham Aftab, who has an extensive background in the sciences as well as activism for a variety of causes. We discuss her most recent publication, in which she used Chebyshev gradient polynomials as a basis set for modal integration. She discusses the recursive nature of the polynomial set which allowed for her method to generate a high number of fitting polynomials. The integration’s ortho-normality is discussed, as well as its unique benefits and how it fits into the general universe of integration methods for slope data. Additionally, Maham speaks about her academic experience and her work in activism. Resources: Aftab’s Paper: Maham Aftab, James H. Burge, Greg A. Smith, Logan Graves, Chang-jin Oh, and Dae Wook Kim, “Modal Data Processing for High Resolution Deflectometry,” Int. J. of Precis. Eng. and Manuf.-Green Tech. (2018). (in press) Southwell Integration Paper: https://www.osapublishing.org/josa/abstract.cfm?uri=josa-70-8-998 --- Support this podcast: https://podcasters.spotify.com/pod/show/the-spotlight-report/support
…
continue reading
45集单集