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);
        }
Exemplo n.º 2
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        public GF256Poly multiply(GF256Poly other)
        {
            if (!field.Equals(other.field))
            {
                throw new ArgumentException("GF256Polys do not have same GF256 field");
            }
            if (isZero() || other.isZero())
            {
                return(field.getZero());
            }
            int[] aCoefficients = this.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] = GF256.addOrSubtract(product[i + j],
                                                         field.multiply(aCoeff, bCoefficients[j]));
                }
            }
            return(new GF256Poly(field, product));
        }
Exemplo n.º 3
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        /**
         * @return evaluation of this polynomial at a given point
         */
        public int evaluateAt(int a)
        {
            if (a == 0)
            {
                // Just return the x^0 coefficient
                return(getCoefficient(0));
            }
            int size   = coefficients.Length;
            int result = 0;

            if (a == 1)
            {
                // Just the sum of the coefficients
                result = 0;
                for (int i = 0; i < size; i++)
                {
                    result = GF256.addOrSubtract(result, coefficients[i]);
                }
                return(result);
            }

            result = coefficients[0];
            for (int i = 1; i < size; i++)
            {
                result = GF256.addOrSubtract(field.multiply(a, result), coefficients[i]);
            }
            return(result);
        }
Exemplo n.º 4
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 /**
  * <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);
     }
 }
Exemplo n.º 5
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        public GF256Poly addOrSubtract(GF256Poly other)
        {
            if (!field.Equals(other.field))
            {
                throw new ArgumentException("GF256Polys do not have same GF256 field");
            }
            if (isZero())
            {
                return(other);
            }
            if (other.isZero())
            {
                return(this);
            }

            int[] smallerCoefficients = this.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
            System.Array.Copy(largerCoefficients, 0, sumDiff, 0, lengthDiff);

            for (int i = lengthDiff; i < largerCoefficients.Length; i++)
            {
                sumDiff[i] = GF256.addOrSubtract(smallerCoefficients[i - lengthDiff], largerCoefficients[i]);
            }

            return(new GF256Poly(field, sumDiff));
        }