| dc.contributor.author | Wang, Xin | |
| dc.description.abstract | This thesis mainly addresses the issue of low-power technology for streaming media
applications. In order to ensure high output video quality under low-voltage supply, the proposed
8-bit pixel memory is sized by different bit positions. A novel MSEpixel estimation method is then
developed according to bit failure rates to directly evaluate the video quality for every 8-bit sizing
combination. Based on this estimation, one area-priory and one quality-priority mobile video
applications are proposed by SPIDER algorithms.
The results show that both luma and chroma data should be considered. More than 70%
power is saved in memory units by using sizing-priority SPIDER algorithms. And the proposed
SPIDER design methodology for low-voltage application is a feasible and efficient trade-off
between the memory reliability and area overhead. Besides, a sample SRAM chip is designed for
tape-out for further verification of the proposed SPIDER methodology. | en_US |
| dc.publisher | North Dakota State University | en_US |
| dc.rights | NDSU Policy 190.6.2 | |
| dc.title | Power Efficient Embedded Memory Design for Mobile Video Applications | en_US |
| dc.type | Thesis | en_US |
| dc.date.accessioned | 2018-02-26T20:08:29Z | |
| dc.date.available | 2018-02-26T20:08:29Z | |
| dc.date.issued | 2015 | |
| dc.identifier.uri | https://hdl.handle.net/10365/27621 | |
| dc.rights.uri | https://www.ndsu.edu/fileadmin/policy/190.pdf | |
| ndsu.degree | Master of Science (MS) | en_US |
| ndsu.college | Engineering | en_US |
| ndsu.department | Electrical and Computer Engineering | en_US |
| ndsu.program | Electrical and Computer Engineering | en_US |
| ndsu.advisor | Gong, Na | |
