Name
Abstract | ||
|---|---|---|
In this paper, we introduce a statistical data-correction framework that aims at improving the DSP system performance in presence of unreliable memories. The proposed signal processing framework implements best-effort error mitigation for signals that are corrupted by defects in unreliable storage arrays using a statistical correction function extracted from the signal statistics, a data-corruption model, and an application-specific cost function. An application example to communication systems demonstrates the efficacy of the proposed approach. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/ACSSC.2014.7094797 | Pacific Grove, CA |
Keywords | Field | DocType |
signal processing,statistical analysis,DSP system performance improvement,application-specific cost function,communication systems,data-corruption model,digital signal processing systems,error mitigation,signal processing framework,signal statistics,statistical correction function,statistical data-correction framework,unreliable memories,unreliable storage arrays | Disk array,Signal processing,Digital signal processing,Signal,Multidimensional signal processing,Signal statistics,Computer science,Communications system,Electronic engineering,Error mitigation | Conference |
ISSN | Citations | PageRank |
1058-6393 | 1 | 0.36 |
References | Authors | |
8 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Christoph Roth | 1 | 52 | 3.56 |
| Christoph Studer | 2 | 59 | 2.59 |
| Karakonstantis, G. | 3 | 13 | 1.42 |
| A. Burg | 4 | 1426 | 126.54 |