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On the influence of coding on the mean time to failure for degrading memories with defects

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On the influence of coding on the mean time to failure for

degrading memories with defects

Citation for published version (APA):

Vinck, A. J., & Post, K. A. (1989). On the influence of coding on the mean time to failure for degrading memories

with defects. In Proceedings of the 1989 IEEE/CAM Information Theory Workshop at Cornell, 25-29 june 1989,

Ithaca NY, USA (pp. 7-1-). Institute of Electrical and Electronics Engineers.

https://doi.org/10.1109/ITW.1989.761430

DOI:

10.1109/ITW.1989.761430

Document status and date:

Published: 01/01/1989

Document Version:

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The 1989 IEEE / CAM information Theory Workshop

On the Influence of Coding on the Mean Time to Failure

for Degrading Memories

with

Defects

Han Vinck and Karel Post Eindhoven University of Technology Eindhoven,

PO6

513, The Netherlands

We study the application of a combined test- errorcorrecting procedure to improve the Mean Time to Failure (MTTF) for degrading memory systems with defects (hard errors). The degrading is characterized by the probability p that in a unit of time a memory cell turns over from the correct physical state to the permanent defect state. We give bounds on the M l T F and show that coding gives an improvement in performance proportional to N(d--2)’(d~-1), where d,., is the minimum distance of the code used and N the size of the memory in words. For small probabilities p, the MTTF is proportional to N-l’(d--l). Thus the time gain for a simple minimum distance 3 code is proportional to

fl.

In addition we combine a memory-word-test with a simple defect-matching code. This method enables reliable operation with one defect in a word. The code efficiency is (n

-

2) / n. where n is the word length.

I

t

6

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