Esempio n. 1
0
void KstHistogram::AutoBin(KstVectorPtr V, int *n, double *max, double *min) {
  double m;

  *max = V->max();
  *min = V->min();
  *n = V->sampleCount();

  if (*max < *min) {
    m = *max;
    *max = *min;
    *min = m;
  }
  if (*max == *min) {
    *max += 1;
    *min -= 1;
  }

  // we can do a better job auto-ranging using the tick rules from plot...
  // this has not been done yet, you will notice...
  *n /= 50;
  if (*n < 6) *n = 6;
  if (*n > 60) *n = 60;

  m = (*max - *min)/(100.0*double(*n));
  *max += m;
  *min -= m;

}
Esempio n. 2
0
KstObject::UpdateType KstPSDCurve::update(int update_counter) {
  int i_subset, i_samp;
  int n_subsets;
  int v_len;
  int copyLen;
  double mean;
  double y;
  bool force = false;
  KstVectorPtr iv = _inputVectors[INVECTOR];

  double *psd;

  if (KstObject::checkUpdateCounter(update_counter))
    return NO_CHANGE;

  if (update_counter <= 0) {
    force = true;
  } else {
    iv->update(update_counter);
  }

  v_len = iv->sampleCount();

  n_subsets = v_len/PSDLen+1;

  last_n_new += iv->numNew();

  if ((last_n_new < PSDLen/16) && (n_subsets - last_n_subsets < 1) && !force) {
    return NO_CHANGE;
  }

  psd = (*_sVector)->value();

  for (i_samp = 0; i_samp < PSDLen; i_samp++) {
    psd[i_samp] = 0;
  }

  for (i_subset = 0; i_subset < n_subsets; i_subset++) {
    /* copy each chunk into a[] and find mean */
    if (i_subset*PSDLen + ALen <= v_len) {
      copyLen = ALen;
    } else {
      copyLen = v_len - i_subset*PSDLen;
    }
    mean = 0;
    for (i_samp = 0; i_samp < copyLen; i_samp++) {
      mean += (
        a[i_samp] =
        iv->interpolate(i_samp + i_subset*PSDLen, v_len)
        );
    }
    if (copyLen>1) mean/=(double)copyLen;

    /* Remove Mean and apodize */
    if (removeMean() && appodize()) {
      for (i_samp=0; i_samp<copyLen; i_samp++) {
        a[i_samp]= (a[i_samp]-mean)*w[i_samp];
      }
    } else if (removeMean()) {
      for (i_samp=0; i_samp<copyLen; i_samp++) {
        a[i_samp] -= mean;
      }
    } else if (appodize()) {
      for (i_samp=0; i_samp<copyLen; i_samp++) {
        a[i_samp] *= w[i_samp];
      }
    }
    for (;i_samp < ALen; i_samp++) a[i_samp] = 0.0;

    /* fft a */
    rdft(ALen, 1, a);
    /* sum each bin into psd[] */
    psd[0]+=a[0];
    psd[PSDLen-1] += a[1];
    for (i_samp=1; i_samp<PSDLen-1; i_samp++) {
      psd[i_samp]+= cabs(a[i_samp*2], a[i_samp*2+1]);
    }
  }

  last_f0 = 0;
  last_n_subsets = n_subsets;
  last_n_new = 0;

  norm_factor = 1.0/(sqrt(double(Freq)*double(PSDLen))*double(n_subsets));

  psd[0]*=norm_factor;

  MaxY = MinY = mean = psd[0];
  if (psd[0]>0)
    MinPosY = psd[0];
  else (MinPosY = 1.0e300);

  /* normalize psd */
  for (i_samp=1; i_samp<PSDLen; i_samp++) {
    y = (psd[i_samp]*=norm_factor);
    if (y>MaxY)
      MaxY=y;
    if (y<MinY)
      MinY=y;
    if ((y>0) && (y<MinPosY))
      MinPosY = y;
    mean +=y;
  }

  if (PSDLen > 0)
    MeanY = mean/PSDLen;
  else MeanY = 0; // should never ever happen...

  NS = PSDLen;

  if (Freq <= 0)
    Freq = 1.0;

  MaxX = Freq/2.0;
  MinX = 0;
  MinPosX = 1.0/double(NS) * MaxX;
  MeanX = MaxX/2.0;

  double *f = (*_fVector)->value();
  f[0] = 0;
  f[1] = Freq/2.0;

  (*_sVector)->update(update_counter);
  (*_fVector)->update(update_counter);

  return UPDATE;
}
Esempio n. 3
0
void KstObjectItem::update(bool recursive) {
  switch (_rtti) {
    case RTTI_OBJ_DATA_VECTOR:
      {
        KstVectorPtr px = *KST::vectorList.findTag(_name);
        assert(px.data());
        assert(dynamic_cast<KstRVector*>(px.data()));
        KstRVectorPtr x = static_cast<KstRVector*>(px.data());
        setText(2, QString::number(x->getUsage() - 3)); // caller has a ptr
        setText(3, QString::number(x->sampleCount()));
        setText(4, i18n("%3: %4 [%1..%2]").arg(x->reqStartFrame())
            .arg(x->reqStartFrame() + x->reqNumFrames())
            .arg(x->getFilename())
            .arg(x->getField()));
        _removable = x->getUsage() == 3;
        break;
      }
    case RTTI_OBJ_VECTOR:
      {
        KstVectorPtr x = *KST::vectorList.findTag(_name);
        assert(x.data());
        setText(2, QString::number(x->getUsage() - 2)); //caller also points
        setText(3, QString::number(x->sampleCount()));
        setText(4, i18n("[%1..%2]").arg(x->min()).arg(x->max()));
        _removable = false;
        break;
      }
    case RTTI_OBJ_OBJECT:
      {
        KstDataObjectPtr x = *KST::dataObjectList.findTag(_name);
        assert(x.data());
        setText(1, x->typeString());
        setText(2, QString::number(x->getUsage() - 1)); // our pointer
        setText(3, QString::number(x->sampleCount()));
        setText(4, x->propertyString());
        if (recursive) {
          QPtrStack<QListViewItem> trash;

          for (QListViewItem *i = firstChild(); i; i = i->nextSibling()) {
            KstObjectItem *oi = static_cast<KstObjectItem*>(i);
            if (x->outputVectors().findTag(oi->tagName()) == x->outputVectors().end()) {
              trash.push(i);
            }
          }
          trash.setAutoDelete(true);
          trash.clear();

          for (KstVectorMap::Iterator p = x->outputVectors().begin();
              p != x->outputVectors().end();
              ++p) {
            bool found = false;
            for (QListViewItem *i = firstChild(); i; i = i->nextSibling()) {
              KstObjectItem *oi = static_cast<KstObjectItem*>(i);
              if (oi->tagName() == p.data()->tagName()) {
                oi->update();
                found = true;
                break;
              }
            }
            if (!found) {
              new KstObjectItem(this, p.data(), _dm);
            }
          }
        }
        _removable = x->getUsage() == 1;
        break;
      }
    default:
      assert(0);
  }
}