The primary objectives of this research are to find decoding algorithms for the Quadratic Residue (QR) Codes, including the well known (23,12,7) Golay code, the (31,16,7) QR code and the (41,21,9) code. The key idea is to find the error locator polynomial by a systematic use of the Newton identities associated with the code syndromes. The study focusses on the binary QR codes which have length 8m+/- 1. The techniques developed extend the algebraic decoding algorithm found recently by the PI for the (31,16,7) QR code and by Elia for the (23,12,7) Golay code to more general QR codes. The first new example of this extension is the (41,21,9) QR code. Is expected that this work and the algebraic methods developed here can apply generally to the entire set of QR codes and to other codes such as the BCH and Reed-Solomon codes.

Agency
National Science Foundation (NSF)
Institute
Division of Computer and Communication Foundations (CCF)
Application #
9016340
Program Officer
Aubrey M. Bush
Project Start
Project End
Budget Start
1991-04-15
Budget End
1994-06-30
Support Year
Fiscal Year
1990
Total Cost
$330,225
Indirect Cost
Name
University of Southern California
Department
Type
DUNS #
City
Los Angeles
State
CA
Country
United States
Zip Code
90089