E.Hemha Chandra, PPG Institute of Technology, Coimbatore, Tamilnadu, India.
S.Baskar, Assistant Professor, Angel College of Engineering and Technology, Coimbatore, Tamilnadu, India.
DOI : 10.3844/ajbbsp.2020.25.31
International Journal of Advanced Information and Communication Technology
Received On : June 13, 2014
Revised On : July 24, 2014
Accepted On : August 12, 2014
Published On : September 05, 2014
Volume 01, Issue 05
Pages : 092-097
Abstract
As expertise scales, Multiple Cell Upsets (MCUs) become more common and affect a larger number of cells. In order to guard memories alongside of MCUs as well as SEUs is to make use of sophisticated Error detecting and correcting codes that can accurate more than one error per word. A sub-group of the low-density parity checks (LDPC) codes, which be-longs to the family of the Majority logic decoding has been newly projected for memory application and Difference set codes are one example of these codes which contributes for error detection and correction.ML decodable Codes are appropriate for memory applications due to their ability to correct a large number of errors. In this paper, the anticipated scheme for fault-detection and correction method significantly makes area overhead minimal and to reduce the decoding time through DC codes than the existing technique and it shows potential option for memory applications. HDL accomplishment and synthesis consequences are included, showing that the proposed techniques can be proficiently implemented.
Keywords
Difference Set Codes, Error Correction Codes, Majority Logic Decoding, Memory, Multiple Cells Upsets (Mcus).
Cite this article
E.Hemha Chandra, S.Baskar, “Enhanced Decoding Algorithm for Error Detection and Correction in SRAM” INTERNATIONAL JOURNAL OF ADVANCED INFORMATION AND COMMUNICATION TECHNOLOGY, pp.092-097, September 05, 2014.
Copyright
© 2014 E.Hemha Chandra, S.Baskar. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.