Examples of net.sourceforge.jaad.aac.tools.LTPrediction

net.sourceforge.jaad.aac.tools.LTPrediction
Long-term prediction @author in-somnia

        if(icPredict==null) icPredict = new ICPrediction();
        icPredict.decode(in, maxSFB, sf);
        break;
      case AAC_LTP:
        if(ltpData1Present = in.readBool()) {
          if(ltPredict1==null) ltPredict1 = new LTPrediction(frameLength);
          ltPredict1.decode(in, this, profile);
        }
        if(commonWindow) {
          if(ltpData2Present = in.readBool()) {
            if(ltPredict2==null) ltPredict2 = new LTPrediction(frameLength);
            ltPredict2.decode(in, this, profile);
          }
        }
        break;
      case ER_AAC_LTP:
        if(!commonWindow) {
          if(ltpData1Present = in.readBool()) {
            if(ltPredict1==null) ltPredict1 = new LTPrediction(frameLength);
            ltPredict1.decode(in, this, profile);
          }
        }
        break;
      default:

View Full Code Here

  }


  private int processSingle(SCE_LFE scelfe, FilterBank filterBank, int channel, Profile profile, SampleFrequency sf) throws AACException {
    final ICStream ics = scelfe.getICStream();
    final ICSInfo info = ics.getInfo();
    final LTPrediction ltp = info.getLTPrediction1();
    final int elementID = scelfe.getElementInstanceTag();


    //inverse quantization
    final float[] iqData = ics.getInvQuantData();


    //prediction
    if(profile.equals(Profile.AAC_MAIN)&&info.isICPredictionPresent()) info.getICPrediction().process(ics, iqData, sf);
    if(LTPrediction.isLTPProfile(profile)&&info.isLTPrediction1Present()) ltp.process(ics, iqData, filterBank, sf);


    //dependent coupling
    processDependentCoupling(false, elementID, CCE.BEFORE_TNS, iqData, null);


    //TNS
    if(ics.isTNSDataPresent()) ics.getTNS().process(ics, iqData, sf, false);


    //dependent coupling
    processDependentCoupling(false, elementID, CCE.AFTER_TNS, iqData, null);


    //filterbank
    filterBank.process(info.getWindowSequence(), info.getWindowShape(ICSInfo.CURRENT), info.getWindowShape(ICSInfo.PREVIOUS), iqData, data[channel], channel);


    if(LTPrediction.isLTPProfile(profile)) ltp.updateState(data[channel], filterBank.getOverlap(channel), profile);


    //dependent coupling
    processIndependentCoupling(false, elementID, data[channel], null);


    //gain control

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  private void processPair(CPE cpe, FilterBank filterBank, int channel, Profile profile, SampleFrequency sf) throws AACException {
    final ICStream ics1 = cpe.getLeftChannel();
    final ICStream ics2 = cpe.getRightChannel();
    final ICSInfo info1 = ics1.getInfo();
    final ICSInfo info2 = ics2.getInfo();
    final LTPrediction ltp1 = info1.getLTPrediction1();
    final LTPrediction ltp2 = cpe.isCommonWindow() ? info1.getLTPrediction2() : info2.getLTPrediction1();
    final int elementID = cpe.getElementInstanceTag();


    //inverse quantization
    final float[] iqData1 = ics1.getInvQuantData();
    final float[] iqData2 = ics2.getInvQuantData();


    //MS
    if(cpe.isCommonWindow()&&cpe.isMSMaskPresent()) MS.process(cpe, iqData1, iqData2);
    //main prediction
    if(profile.equals(Profile.AAC_MAIN)) {
      if(info1.isICPredictionPresent()) info1.getICPrediction().process(ics1, iqData1, sf);
      if(info2.isICPredictionPresent()) info2.getICPrediction().process(ics2, iqData2, sf);
    }
    //IS
    IS.process(cpe, iqData1, iqData2);


    //LTP
    if(LTPrediction.isLTPProfile(profile)) {
      if(info1.isLTPrediction1Present()) ltp1.process(ics1, iqData1, filterBank, sf);
      if(cpe.isCommonWindow()&&info1.isLTPrediction2Present()) ltp2.process(ics2, iqData2, filterBank, sf);
      else if(info2.isLTPrediction1Present()) ltp2.process(ics2, iqData2, filterBank, sf);
    }


    //dependent coupling
    processDependentCoupling(true, elementID, CCE.BEFORE_TNS, iqData1, iqData2);


    //TNS
    if(ics1.isTNSDataPresent()) ics1.getTNS().process(ics1, iqData1, sf, false);
    if(ics2.isTNSDataPresent()) ics2.getTNS().process(ics2, iqData2, sf, false);


    //dependent coupling
    processDependentCoupling(true, elementID, CCE.AFTER_TNS, iqData1, iqData2);


    //filterbank
    filterBank.process(info1.getWindowSequence(), info1.getWindowShape(ICSInfo.CURRENT), info1.getWindowShape(ICSInfo.PREVIOUS), iqData1, data[channel], channel);
    filterBank.process(info2.getWindowSequence(), info2.getWindowShape(ICSInfo.CURRENT), info2.getWindowShape(ICSInfo.PREVIOUS), iqData2, data[channel+1], channel+1);


    if(LTPrediction.isLTPProfile(profile)) {
      ltp1.updateState(data[channel], filterBank.getOverlap(channel), profile);
      ltp2.updateState(data[channel+1], filterBank.getOverlap(channel+1), profile);
    }


    //independent coupling
    processIndependentCoupling(true, elementID, data[channel], data[channel+1]);

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Related Classes of net.sourceforge.jaad.aac.tools.LTPrediction

net.sourceforge.jaad.aac.syntax.ICSInfo

net.sourceforge.jaad.aac.syntax.SyntacticElements

net.sourceforge.jaad.aac.AACException

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