| dc.contributor.author | Scholze, Sam | |
| dc.contributor.author | Holmes, Austin | |
| dc.contributor.author | Gonzales, Tyler | |
| dc.date.accessioned | 2020-05-11T17:09:59Z | |
| dc.date.available | 2020-05-11T17:09:59Z | |
| dc.date.issued | 2018-04 | |
| dc.identifier.uri | http://digital.library.wisc.edu/1793/80094 | |
| dc.description | Color poster with text, graphs, and images. | en_US |
| dc.description.abstract | The goal of this project is to efficiently reconstruct signals when some of the frame measurements are erased or subject to additive noise. | en_US |
| dc.description.sponsorship | University of Wisconsin Eau Claire Office of Research and Sponsored Programs. | en_US |
| dc.language.iso | en_US | en_US |
| dc.relation.ispartofseries | USGZE AS589; | |
| dc.subject | Posters | en_US |
| dc.subject | Mathematics | en_US |
| dc.subject | Parseval frames | en_US |
| dc.subject | Digital signals | en_US |
| dc.subject | Frames (linear algebra) | en_US |
| dc.title | Efficient Erasure Reconstruction from Noisy Measurements | en_US |
| dc.type | Presentation | en_US |
