internal GenericGFPoly Multiply(GenericGFPoly other)
{
if (field.Equals(other.field) == false)
{
throw new ArgumentException("GenericGFPolys do not have same GenericGF field");
}
if (IsZero || other.IsZero)
{
return(field.Zero);
}
int[] aCoefficients = coefficients;
int aLength = aCoefficients.Length;
int[] bCoefficients = other.coefficients;
int bLength = bCoefficients.Length;
int[] product = new int[aLength + bLength - 1];
for (int i = 0; i < aLength; i++)
{
int aCoeff = aCoefficients[i];
for (int j = 0; j < bLength; j++)
{
product[i + j] = GenericGF.AddOrSubtract(product[i + j], field.Multiply(aCoeff, bCoefficients[j]));
}
}
return(new GenericGFPoly(field, product));
}
/// <summary>
/// evaluation of this polynomial at a given point
/// </summary>
/// <param name="a">A.</param>
/// <returns>evaluation of this polynomial at a given point</returns>
internal int EvaluateAt(int a)
{
int result = 0;
if (a == 0)
{
// Just return the x^0 coefficient
return(GetCoefficient(0));
}
int size = coefficients.Length;
if (a == 1)
{
// Just the sum of the coefficients
foreach (var coefficient in coefficients)
{
result = GenericGF.AddOrSubtract(result, coefficient);
}
return(result);
}
result = coefficients[0];
for (int i = 1; i < size; i++)
{
result = GenericGF.AddOrSubtract(field.Multiply(a, result), coefficients[i]);
}
return(result);
}
/// <summary>
/// <p>Decodes given set of received codewords, which include both data and error-correction
/// codewords. Really, this means it uses Reed-Solomon to detect and correct errors, in-place,
/// in the input.</p>
/// </summary>
/// <param name="received">data and error-correction codewords</param>
/// <param name="twoS">number of error-correction codewords available</param>
/// <returns>false: decoding fails</returns>
public bool Decode(int[] received, int twoS)
{
var poly = new GenericGFPoly(field, received);
var syndromeCoefficients = new int[twoS];
var noError = true;
for (var i = 0; i < twoS; i++)
{
int eval = poly.EvaluateAt(field.Exp(i + field.GeneratorBase));
syndromeCoefficients[syndromeCoefficients.Length - 1 - i] = eval;
if (eval != 0)
{
noError = false;
}
}
if (noError)
{
return(true);
}
var syndrome = new GenericGFPoly(field, syndromeCoefficients);
GenericGFPoly[] sigmaOmega = RunEuclideanAlgorithm(field.BuildMonomial(twoS, 1), syndrome, twoS);
if (sigmaOmega == null)
{
return(false);
}
GenericGFPoly sigma = sigmaOmega[0];
int[] errorLocations = FindErrorLocations(sigma);
if (errorLocations == null)
{
return(false);
}
GenericGFPoly omega = sigmaOmega[1];
int[] errorMagnitudes = FindErrorMagnitudes(omega, errorLocations);
for (int i = 0; i < errorLocations.Length; i++)
{
int position = received.Length - 1 - field.Log(errorLocations[i]);
if (position < 0)
{
// throw new ReedSolomonException("Bad error location");
return(false);
}
received[position] = GenericGF.AddOrSubtract(received[position], errorMagnitudes[i]);
}
return(true);
}
internal GenericGFPoly AddOrSubtract(GenericGFPoly other)
{
if (field.Equals(other.field) == false)
{
throw new ArgumentException("GenericGFPolys do not have same GenericGF field");
}
if (IsZero)
{
return(other);
}
if (other.IsZero)
{
return(this);
}
int[] smallerCoefficients = coefficients;
int[] largerCoefficients = other.coefficients;
if (smallerCoefficients.Length > largerCoefficients.Length)
{
int[] temp = smallerCoefficients;
smallerCoefficients = largerCoefficients;
largerCoefficients = temp;
}
int[] sumDiff = new int[largerCoefficients.Length];
int lengthDiff = largerCoefficients.Length - smallerCoefficients.Length;
// Copy high-order terms only found in higher-degree polynomial's coefficients
Array.Copy(largerCoefficients, 0, sumDiff, 0, lengthDiff);
for (int i = lengthDiff; i < largerCoefficients.Length; i++)
{
sumDiff[i] = GenericGF.AddOrSubtract(smallerCoefficients[i - lengthDiff], largerCoefficients[i]);
}
return(new GenericGFPoly(field, sumDiff));
}
