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- W2045131479 abstract "In this paper, we apply the decoding matrix for 2-D convolution codes to reconstruct information sequences. It is suitable for non-square matrices with multivariate polynomial elements. Next, development of a syndrome decoder for 2-D convolutional codes based on Grobner bases is introduced. The computation of the syndrome vector employs the computation of the syzygy module, found by means of the Grobner basis of a certain module. Then, estimated error vector can be identified by using m-variate division algorithm. Simulation results show error-correcting capability of decoding process. AMS Subject Classification: 94B10, 94B35" @default.
- W2045131479 created "2016-06-24" @default.
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- W2045131479 date "2014-11-05" @default.
- W2045131479 modified "2023-09-26" @default.
- W2045131479 title "DECODING OF 2-D CONVOLUTIONAL CODES BASED ON ALGEBRAIC APPROACH" @default.
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- W2045131479 doi "https://doi.org/10.12732/ijpam.v97i1.3" @default.
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