Date of Award

2015

Publisher

North Dakota State University

Document Type

Thesis

Degree Awarded

Master of Science (MS)

Program

Electrical and Computer Engineering

Department

Electrical and Computer Engineering

College

Engineering

Faculty Advisor

Gong, Na

Description

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.

Rights

NDSU Policy 190.6.2

Rights Link

https://www.ndsu.edu/fileadmin/policy/190.pdf

Handle Identifier

https://hdl.handle.net/10365/27621

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