On Syndrome Decoding of Convolutional Code Cosets
Consider the following problem. Given a syndrome <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$s$</tex> of a terminated convolutional (or linear block) code <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$c$</tex> of length <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$n$</tex> over the field <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathbb{F}$</tex> with the parity check matrix <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$H$</tex> and a vector <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$x\in \mathbb{F}^{n}$</tex>, find a vector <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$e\in \mathbb{F}^{n}$</tex> such that i) it has the syndrome <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$eH^{T}=5$</tex> and ii) minimizes the distortion <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$d(x, e^{\backslash }$</tex>, where <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$d(x,\ e)$</tex> is a distance function. This problem is an instance of vector quantization and is called also trellis-coded quantization. Solution of this problem has many practical applications including telecommunication, data compression, and steganography. To solve the problem some publications suggest to use the minimal trellis of the coset and the trellis is designed for every given syndrome, which is complicated. In this paper, we propose using only one trellis of the original code <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$c$</tex> for all syndromes and a representative <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$e$</tex> of the coset, where <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$e$</tex> satisfies the condition i) only. We show a simple method to find a representative <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$e$</tex> of the coset for every given syndrome <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$s$</tex>.
Authors
- Gerhard Kramer (ORCID: https://orcid.org/0000-0002-3904-9181)
- Vladimir Sidorenko (ORCID: https://orcid.org/0000-0003-4966-3684)
Institutions
- Technical University of Munich (DE)
Publication Details
- Published
- 2024-09-30
- DOI
- https://doi.org/10.1109/sibircon63777.2024.10758457
- Primary Topic
- DNA and Biological Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00