Class GoppaCode
java.lang.Object
org.bouncycastle.pqc.legacy.math.linearalgebra.GoppaCode
This class describes decoding operations of an irreducible binary Goppa code.
A check matrix H of the Goppa code and an irreducible Goppa polynomial are
used the operations are worked over a finite field GF(2^m)
- See Also:
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Nested Class Summary
Nested ClassesModifier and TypeClassDescriptionstatic class
This class is a container for two instances ofGF2Matrix
and one instance ofPermutation
.static class
This class is a container for an instance ofGF2Matrix
and one int[]. -
Method Summary
Modifier and TypeMethodDescriptionstatic GoppaCode.MaMaPe
Given a check matrix H, compute matrices S, M, and a random permutation P such that S*H*P = (Id|M).static GF2Matrix
Construct the check matrix of a Goppa code in canonical form from the irreducible Goppa polynomial over the finite field GF(2m).static GF2Vector
syndromeDecode
(GF2Vector syndVec, GF2mField field, PolynomialGF2mSmallM gp, PolynomialGF2mSmallM[] sqRootMatrix) Find an error vector e over GF(2) from an input syndrome s over GF(2m).
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Method Details
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createCanonicalCheckMatrix
Construct the check matrix of a Goppa code in canonical form from the irreducible Goppa polynomial over the finite field GF(2m).- Parameters:
field
- the finite fieldgp
- the irreducible Goppa polynomial
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computeSystematicForm
Given a check matrix H, compute matrices S, M, and a random permutation P such that S*H*P = (Id|M). Return S^-1, M, and P asGoppaCode.MaMaPe
. The matrix (Id | M) is called the systematic form of H.- Parameters:
h
- the check matrixsr
- a source of randomness- Returns:
- the tuple (S^-1, M, P)
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syndromeDecode
public static GF2Vector syndromeDecode(GF2Vector syndVec, GF2mField field, PolynomialGF2mSmallM gp, PolynomialGF2mSmallM[] sqRootMatrix) Find an error vector e over GF(2) from an input syndrome s over GF(2m).- Parameters:
syndVec
- the syndromefield
- the finite fieldgp
- the irreducible Goppa polynomialsqRootMatrix
- the matrix for computing square roots in (GF(2m))t- Returns:
- the error vector
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