Abstract
Future digital signal processing (DSP) systems must provide robustness on algorithm and application level to the presence of reliability issues that come along with corresponding implementations in modern semiconductor process technologies. In this paper, we address this issue by investigating the impact of unreliable memories on general DSP systems. In particular, we propose a novel framework to characterize the effects of unreliable memories, which enables us to devise novel methods to mitigate the associated performance loss. We propose to deploy specifically designed data representations, which have the capability of substantially improving the system reliability compared to that realized by conventional data representations used in digital integrated circuits, such as 2's-complement or sign-magnitude number formats. To demonstrate the efficacy of the proposed framework, we analyze the impact of unreliable memories on coded communication systems, and we show that the deployment of optimized data representations substantially improves the error-rate performance of such systems.
Original language | English |
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Title of host publication | 2012 50th Annual Allerton Conference on Communication, Control, and Computing (Allerton) |
Place of Publication | NEW YORK |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 679-685 |
Number of pages | 7 |
ISBN (Print) | 978-1-4673-4539-2 |
DOIs | |
Publication status | Published - 2013 |
Event | 50th Annual Allerton Conference on Communication, Control, and Computing (Allerton) - Monticello, Israel Duration: 01 Oct 2012 → 05 Oct 2012 |
Conference
Conference | 50th Annual Allerton Conference on Communication, Control, and Computing (Allerton) |
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Country/Territory | Israel |
Period | 01/10/2012 → 05/10/2012 |
Keywords
- CONVOLUTIONAL-CODES
- RELIABILITY
- DESIGN