<p>Partial permutation decoding is a natural generalization of permutation decoding that enables error correction without fully exploiting the code’s error-correcting capabilities. The efficiency of partial permutation decoding is maximized when the size of the <i>s</i>-PD set reaches the lower bound <InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(s+1\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>s</mi> <mo>+</mo> <mn>1</mn> </mrow> </math></EquationSource> </InlineEquation>. In 2019, Barrolleta and Villanueva provided a sufficient condition for obtaining <i>s</i>-PD sets of size <InlineEquation ID="IEq2"> <EquationSource Format="TEX">\(s+1\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>s</mi> <mo>+</mo> <mn>1</mn> </mrow> </math></EquationSource> </InlineEquation> for partial permutation decoding. In this paper, we present a necessary and sufficient condition on the cycle structure of a permutation to generate an <i>s</i>-PD set of size <InlineEquation ID="IEq3"> <EquationSource Format="TEX">\(s+1\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>s</mi> <mo>+</mo> <mn>1</mn> </mrow> </math></EquationSource> </InlineEquation> for linear codes over finite fields. As applications, we apply our general results to cyclic and quasi-cyclic codes, deriving new and specific criteria for constructing <i>s</i>-PD sets of size <InlineEquation ID="IEq4"> <EquationSource Format="TEX">\(s+1\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>s</mi> <mo>+</mo> <mn>1</mn> </mrow> </math></EquationSource> </InlineEquation>. Our results naturally generalize and improve the corresponding results in the aforementioned paper. Several examples are also included to illustrate our findings.</p>

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Minimum-size s-PD sets in partial permutation decoding with applications to cyclic and quasi-cyclic codes

  • Chunyan Qin,
  • Gaojun Luo,
  • Bocong Chen

摘要

Partial permutation decoding is a natural generalization of permutation decoding that enables error correction without fully exploiting the code’s error-correcting capabilities. The efficiency of partial permutation decoding is maximized when the size of the s-PD set reaches the lower bound \(s+1\) s + 1 . In 2019, Barrolleta and Villanueva provided a sufficient condition for obtaining s-PD sets of size \(s+1\) s + 1 for partial permutation decoding. In this paper, we present a necessary and sufficient condition on the cycle structure of a permutation to generate an s-PD set of size \(s+1\) s + 1 for linear codes over finite fields. As applications, we apply our general results to cyclic and quasi-cyclic codes, deriving new and specific criteria for constructing s-PD sets of size \(s+1\) s + 1 . Our results naturally generalize and improve the corresponding results in the aforementioned paper. Several examples are also included to illustrate our findings.