private int[] findErrorMagnitudes(GF256Poly errorEvaluator, int[] errorLocations, bool dataMatrix)
{
// This is directly applying Forney's Formula
int s = errorLocations.Length;
int[] result = new int[s];
for (int i = 0; i < s; i++)
{
int xiInverse = field.inverse(errorLocations[i]);
int denominator = 1;
for (int j = 0; j < s; j++)
{
if (i != j)
{
denominator = field.multiply(denominator, GF256.addOrSubtract(1, field.multiply(errorLocations[j], xiInverse)));
}
}
result[i] = field.multiply(errorEvaluator.evaluateAt(xiInverse), field.inverse(denominator));
// Thanks to sanfordsquires for this fix:
if (dataMatrix)
{
result[i] = field.multiply(result[i], xiInverse);
}
}
return(result);
}
private int[] findErrorLocations(GF256Poly errorLocator)
{
// This is a direct application of Chien's search
int numErrors = errorLocator.Degree;
if (numErrors == 1)
{
// shortcut
return(new int[] { errorLocator.getCoefficient(1) });
}
int[] result = new int[numErrors];
int e = 0;
for (int i = 1; i < 256 && e < numErrors; i++)
{
if (errorLocator.evaluateAt(i) == 0)
{
result[e] = field.inverse(i);
e++;
}
}
if (e != numErrors)
{
throw new ReedSolomonException("Error locator degree does not match number of roots");
}
return(result);
}
/**
* <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>
*
* @param received data and error-correction codewords
* @param twoS number of error-correction codewords available
* @throws ReedSolomonException if decoding fails for any reason
*/
public void decode(int[] received, int twoS)
{
try{
GF256Poly poly = new GF256Poly(field, received);
int[] syndromeCoefficients = new int[twoS];
bool dataMatrix = field.Equals(GF256.DATA_MATRIX_FIELD);
bool noError = true;
for (int i = 0; i < twoS; i++)
{
// Thanks to sanfordsquires for this fix:
int eval = poly.evaluateAt(field.exp(dataMatrix ? i + 1 : i));
syndromeCoefficients[syndromeCoefficients.Length - 1 - i] = eval;
if (eval != 0)
{
noError = false;
}
}
if (noError)
{
return;
}
GF256Poly syndrome = new GF256Poly(field, syndromeCoefficients);
GF256Poly[] sigmaOmega =
runEuclideanAlgorithm(field.buildMonomial(twoS, 1), syndrome, twoS);
GF256Poly sigma = sigmaOmega[0];
GF256Poly omega = sigmaOmega[1];
int[] errorLocations = findErrorLocations(sigma);
int[] errorMagnitudes = findErrorMagnitudes(omega, errorLocations, dataMatrix);
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");
}
received[position] = GF256.addOrSubtract(received[position], errorMagnitudes[i]);
}
}catch (ReedSolomonException e) {
throw new ReedSolomonException(e.Message);
}
}
/**
* <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>
*
* @param received data and error-correction codewords
* @param twoS number of error-correction codewords available
* @throws ReedSolomonException if decoding fails for any reason
*/
public void decode(int[] received, int twoS) {
try{
GF256Poly poly = new GF256Poly(field, received);
int[] syndromeCoefficients = new int[twoS];
bool dataMatrix = field.Equals(GF256.DATA_MATRIX_FIELD);
bool noError = true;
for (int i = 0; i < twoS; i++) {
// Thanks to sanfordsquires for this fix:
int eval = poly.evaluateAt(field.exp(dataMatrix ? i + 1 : i));
syndromeCoefficients[syndromeCoefficients.Length - 1 - i] = eval;
if (eval != 0) {
noError = false;
}
}
if (noError) {
return;
}
GF256Poly syndrome = new GF256Poly(field, syndromeCoefficients);
GF256Poly[] sigmaOmega =
runEuclideanAlgorithm(field.buildMonomial(twoS, 1), syndrome, twoS);
GF256Poly sigma = sigmaOmega[0];
GF256Poly omega = sigmaOmega[1];
int[] errorLocations = findErrorLocations(sigma);
int[] errorMagnitudes = findErrorMagnitudes(omega, errorLocations, dataMatrix);
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");
}
received[position] = GF256.addOrSubtract(received[position], errorMagnitudes[i]);
}
}catch(ReedSolomonException e){
throw new ReedSolomonException(e.Message);
}
}
private int[] findErrorMagnitudes(GF256Poly errorEvaluator, int[] errorLocations, bool dataMatrix)
{
// This is directly applying Forney's Formula
int s = errorLocations.Length;
int[] result = new int[s];
for (int i = 0; i < s; i++)
{
int xiInverse = field.inverse(errorLocations[i]);
int denominator = 1;
for (int j = 0; j < s; j++)
{
if (i != j)
{
denominator = field.multiply(denominator, GF256.addOrSubtract(1, field.multiply(errorLocations[j], xiInverse)));
}
}
result[i] = field.multiply(errorEvaluator.evaluateAt(xiInverse), field.inverse(denominator));
// Thanks to sanfordsquires for this fix:
if (dataMatrix)
{
result[i] = field.multiply(result[i], xiInverse);
}
}
return result;
}
private int[] findErrorLocations(GF256Poly errorLocator)
{
// This is a direct application of Chien's search
int numErrors = errorLocator.Degree;
if (numErrors == 1)
{
// shortcut
return new int[]{errorLocator.getCoefficient(1)};
}
int[] result = new int[numErrors];
int e = 0;
for (int i = 1; i < 256 && e < numErrors; i++)
{
if (errorLocator.evaluateAt(i) == 0)
{
result[e] = field.inverse(i);
e++;
}
}
if (e != numErrors)
{
throw new ReedSolomonException("Error locator degree does not match number of roots");
}
return result;
}
