| dc.contributor.author | Edstrom, Jonathon David | |
| dc.description.abstract | The growing popularity of smart phones, tablets, and other mobile devices has created an exponential demand for video applications in today’s society. Mobile device users want their devices to achieve a long battery lifetime while also being able to display high quality video. When mobile devices display video, the embedded video memory in the device consumes a large amount of power. Therefore, in this thesis, we present multiple novel, power-quality trade off techniques for enabling good quality video output, while simultaneously enabling power consumption reduction in order to maximize the lifetime of the battery. The described techniques are designed using minimal area overhead and are compared against recent, related works by researchers in the area of low power memory design. | en_US |
| dc.publisher | North Dakota State University | en_US |
| dc.title | Intelligent and Efficient Embedded Video Memory Design in the Era of Big Data | en_US |
| dc.type | Thesis | en_US |
| dc.date.accessioned | 2019-05-16T12:51:41Z | |
| dc.date.available | 2019-05-16T12:51:41Z | |
| dc.date.issued | 2017 | en_US |
| dc.identifier.uri | https://hdl.handle.net/10365/29737 | |
| dc.identifier.orcid | 0000-0002-4924-1310 | |
| dc.description.sponsorship | National Science Foundation (NSF) | en_US |
| dc.description.sponsorship | ND EPSCoR | en_US |
| 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 | |
