예제 #1
0
  public static void normalizeErrors(
      float[][][][] e, final float ignoreMin, final float ignoreMax) {
    final int nl = e[0][0][0].length;
    final int n1 = e[0][0].length;
    final int n2 = e[0].length;
    final int n3 = e.length;
    final float[][][][] ef = e;
    MinMax mm =
        Parallel.reduce(
            n3,
            new Parallel.ReduceInt<MinMax>() {
              public MinMax compute(int i3) {
                float emin = Float.MAX_VALUE;
                float emax = -Float.MAX_VALUE;
                for (int i2 = 0; i2 < n2; ++i2) {
                  for (int i1 = 0; i1 < n1; ++i1) {
                    for (int il = 0; il < nl; ++il) {
                      float ei = ef[i3][i2][i1][il];
                      if (ei < emin && ei > ignoreMin) emin = ei;
                      if (ei > emax && ei < ignoreMax) emax = ei;
                    }
                  }
                }
                return new MinMax(emin, emax);
              }

              public MinMax combine(MinMax mm1, MinMax mm2) {
                return new MinMax(min(mm1.emin, mm2.emin), max(mm1.emax, mm2.emax));
              }
            });
    shiftAndScale(mm.emin, mm.emax, e);
  }
예제 #2
0
  /**
   * Computes the NRMS value of the warped PS trace {@code h} and the PP trace {@code f}. The NRMS
   * value is the RMS of the difference between {@code f} and {@code h} divided by the average RMS
   * of {@code f} and {@code h}.
   *
   * @param n1Max the length of {@code f} and {@code h} to use for this computation.
   * @param f the PP traces.
   * @param h the warped PS traces.
   * @return the NRMS value, this measure is between 0.0 and 2.0.
   */
  public static float computeNrms(final int n1Max, final float[][][] f, final float[][][] h) {
    int n1f = f[0][0].length;
    int n1h = h[0][0].length;
    Check.argument(n1Max <= n1f, "n1Max<=n1f");
    Check.argument(n1Max <= n1h, "n1Max<=n1h");
    final int n3 = f.length;
    final int n2 = f[0].length;
    final int n23 = n2 * n3;
    float scale = 1.0f / (n1Max * n23);
    float[] rms =
        Parallel.reduce(
            n23,
            new Parallel.ReduceInt<float[]>() {
              @Override
              public float[] compute(int i23) {
                int i2 = i23 % n2;
                int i3 = i23 / n2;
                float[] fhdSq = new float[3];
                for (int i1 = 0; i1 < n1Max; i1++) {
                  float fv = f[i3][i2][i1];
                  float hv = h[i3][i2][i1];
                  fhdSq[0] += fv * fv;
                  fhdSq[1] += hv * hv;
                  fhdSq[2] += (hv - fv) * (hv - fv);
                }
                return fhdSq;
              }

              @Override
              public float[] combine(float[] fhdSq1, float[] fhdSq2) {
                float[] rms = new float[3];
                rms[0] = fhdSq1[0] + fhdSq2[0];
                rms[1] = fhdSq1[1] + fhdSq2[1];
                rms[2] = fhdSq1[2] + fhdSq2[2];
                return rms;
              }
            });
    float frms = sqrt(rms[0] * scale);
    float hrms = sqrt(rms[1] * scale);
    float drms = sqrt(rms[2] * scale);
    float nrms = (2.0f * drms) / (frms + hrms);
    return nrms;
  }