9305038 Welch This project is an investigation of decoding procedures for cyclic codes and algebraic geometry (AG) codes with the following objectives: 1. To obtain efficient and fast decoding procedures for the decoding of cyclic codes up to the best known lower bound of the minimum distance and to achieve the decoding of binary cyclic codes of considerable lengths (for example codes of lengths less than 255) up to the actual minimum distance. 2. To achieve the decoding of AG codes up to the designed minimum distance with complexities to rival those of BCH codes and Reed Solomon codes G. L. Feng will be a post-doctoral researcher on the project. The investigators have shown a universal method of determining the minimum lower distance bounds. The have investigated the possibility of decoding linear codes of considerable length up to the bound obtained and decoding binary cyclic codes up to their actual minimum distance using a generalized majority scheme. They have discussed the modified Gauss elimination for Hankel matrix and block-Hankel matrix which may result in lower complexity in the decoding of AG codes. These algorithms will be investigated in order to reduce the complexities. ***

Agency
National Science Foundation (NSF)
Institute
Division of Computer and Communication Foundations (CCF)
Application #
9305038
Program Officer
Thomas E. Fuja
Project Start
Project End
Budget Start
1993-09-01
Budget End
1996-08-31
Support Year
Fiscal Year
1993
Total Cost
$335,553
Indirect Cost
Name
University of Southern California
Department
Type
DUNS #
City
Los Angeles
State
CA
Country
United States
Zip Code
90089