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- Masato Tajima, Koji Okino, Takashi Miyagoshi
- IEICE Transactions
- 2007

Yamada, Harashima, and Miyakawa proposed to use a trellis constructed based on a syndrome former for the purpose of Viterbi decoding of rate-(n − 1)/n convolutional codes. In this paper, we extend their code-trellis construction to general rate-k/n convolutional codes. We show that the extended construction is equivalent to the one proposed by Sidorenko and… (More)

- Masato Tajima, Koji Okino, Takashi Miyagoshi
- IEICE Transactions
- 2009

- Masato Tajima, Koji Okino, Takashi Miyagoshi
- 2010 International Symposium On Information…
- 2010

Let H(D) be the parity-check matrix of an LDPC convolutional code corresponding to the parity-check matrix H of a QC code obtained using the method of Tanner et al. We see that the entries in H(D) are all monomials and several rows (columns) have monomial factors. Let us cyclically shift the rows of H. Then the parity-check matrix H'(D) corresponding to the… (More)

- Masato Tajima, Koji Okino, Takashi Miyagoshi
- 2011 IEEE International Symposium on Information…
- 2011

In this paper, we show that the code-trellis and the error-trellis for a convolutional code can be reduced simultaneously, if reduction is possible. Assume that the error-trellis can be reduced by shifting particular error-subsequences. In this case, if the identical shifts occur in the corresponding subsequences of each code path, then the code-trellis can… (More)

- Masato Tajima, Koji Okino, Takashi Miyagoshi
- IEICE Transactions
- 2006

- Takashi Miyagoshi, Hirotaka Asano
- Seishin shinkeigaku zasshi = Psychiatria et…
- 1980

- Masato Tajima, Koji Okino, Takashi Miyagoshi
- ArXiv
- 2009

We consider the decoding of convolutional codes using an error trellis constructed based on a submatrix of a given check matrix. In the proposed method, the syndromesubsequence computed using the remaining submatrix is utilized as auxiliary information for decoding. Then the ML error path is correctly decoded using the degenerate error trellis. We also show… (More)

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