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New syndrome decoder for (n, 1) convolutional codesThe letter presents a new syndrome decoding algorithm for the (n, 1) convolutional codes (CC) that is different and simpler than the previous syndrome decoding algorithm of Schalkwijk and Vinck. The new technique uses the general solution of the polynomial linear Diophantine equation for the error polynomial vector E(D). A recursive, Viterbi-like, algorithm is developed to find the minimum weight error vector E(D). An example is given for the binary nonsystematic (2, 1) CC.
Document ID
19830050567
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
Authors
Reed, I. S.
(Southern California, University Los Angeles, CA, United States)
Truong, T. K.
(California Institute of Technology, Jet Propulsion Laboratory, Communication System Research, Pasadena CA, United States)
Date Acquired
August 11, 2013
Publication Date
April 28, 1983
Publication Information
Publication: Electronics Letters
Volume: 19
ISSN: 0013-5194
Subject Category
Cybernetics
Accession Number
83A31785
Funding Number(s)
CONTRACT_GRANT: AF-AFOSR-80-0151
CONTRACT_GRANT: DAAG29-81-K-0142
CONTRACT_GRANT: NAS7-100
CONTRACT_GRANT: N00019-81-C-0541
Distribution Limits
Public
Copyright
Other

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