Title :
Convolutionally Encoded Memory Protection
Author :
Metzner, John J.
Author_Institution :
School of Engineering, Oakland University
fDate :
6/1/1982 12:00:00 AM
Abstract :
A memory protection technique is described in which individually code-protected memory cells are supplemented with redundant memory cells derived from the basic cells according to the rules of a short constraint length convolutional code. The technique is found to be far more protective against faults than memory duplication. The method of clearing up faults is extremely simple—only slightly more complex than with memory duplication.
Keywords :
Convolutional codes; erased memory cells; fault-tolerant computing; memory protection; two-pass decoding; Block codes; Convolutional codes; Decoding; Encoding; Error correction; Error correction codes; Fault detection; Fault tolerance; Product codes; Protection; Convolutional codes; erased memory cells; fault-tolerant computing; memory protection; two-pass decoding;
Journal_Title :
Computers, IEEE Transactions on
DOI :
10.1109/TC.1982.1676038