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DecimatorWorker.java
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229 lines (216 loc) · 8.2 KB
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package decimator;
import java.util.Arrays;
import Acquisition.DaqSourceInfo;
import Filters.Filter;
import Filters.FilterBand;
import Filters.FilterMethod;
import Filters.FilterParams;
import Filters.FilterType;
import Filters.interpolate.Interpolator;
import Filters.interpolate.PolyInterpolator0;
import Filters.interpolate.PolyInterpolator1;
import Filters.interpolate.PolyInterpolator2;
import PamDetection.RawDataUnit;
import PamUtils.PamUtils;
/**
* Job to run the actual decimation. Separate out from
* DecimatorProcess so that it can be used elsewhere.
* <br> Note that this can both decimate and upsample. If decimating, filtering
* takes place before data are copied to output array. If upsampling, filtering takes
* place AFTER data are copied to the output array.
* @author dg50
*
*/
public class DecimatorWorker {
private Filter filters[];
private double[][] filteredData;
private double[] pickSample;
private int[] putSample;
private long[] totalPutSamples;
private double[][] outputData;
private long[] outputStartMillis;
private int channelMap;
private double inputRate;
private double outputRate;
private Interpolator[] interpolators;
private DecimatorParams decimatorParams;
// private DaqSourceInfo[] daqSourceInfos;
/**
* Make a decimator worker with given filter params, channel map and input and output rates.
* Channels not in the map will be ignored.
* @param decimatorParams Filter parameters for Decimator filter
* @param channelMap Channel map (channels not in map will return null)
* @param inputRate input sample rate
* @param outputRate output sample rate
*/
public DecimatorWorker(DecimatorParams decimatorParams, int channelMap, double inputRate, double outputRate) {
this.decimatorParams = decimatorParams;
this.channelMap = channelMap;
this.inputRate = inputRate;
this.outputRate = outputRate;
createFilters();
}
/**
* Make a decimator / upsampler
* @param filterOrder Filter order to use (Butterworth low pass applied before decimation or after upsampling
* @param channelMap channel map
* @param inputRate input sample rate
* @param outputRate output sample rate
*/
public DecimatorWorker(int filterOrder, int channelMap, double inputRate, double outputRate) {
this.channelMap = channelMap;
this.inputRate = inputRate;
this.outputRate = outputRate;
decimatorParams = new DecimatorParams();
decimatorParams.filterParams = new FilterParams();
decimatorParams.filterParams.filterBand = FilterBand.LOWPASS;
decimatorParams.filterParams.filterType = FilterType.BUTTERWORTH;
decimatorParams.filterParams.filterOrder = filterOrder;
decimatorParams.filterParams.lowPassFreq = (float) (Math.min(inputRate, outputRate) / 2.);
createFilters();
}
/**
* Reset all counters and output buffers.
*/
public void reset() {
createFilters();
}
/**
* Make the decimator filters. If reducing frequency, then the filter
* is applied before decimation (obviously!) so is set up based on the
* input sample rate. If however the 'decimator' is being used to upsample,
* then filtering takes place AFTER the transfer of data to the output
* arrays, so fitlering is set up based on the output sample rate.
*/
protected void createFilters() {
int highestChan = PamUtils.getHighestChannel(channelMap);
filters = new Filter[highestChan+1];
filteredData = new double[highestChan+1][];
outputData = new double[highestChan+1][];
outputStartMillis = new long[highestChan+1];
interpolators = new Interpolator[highestChan+1];
// daqSourceInfos = new DaqSourceInfo[highestChan+1];
double fs = Math.max(inputRate, outputRate);
for (int i = 0; i <= highestChan; i++) {
if ((1<<i & channelMap) == 0) {
continue;
}
FilterMethod filterMethod = FilterMethod.createFilterMethod(fs, decimatorParams.filterParams);
filters[i] = filterMethod.createFilter(i);
filters[i].prepareFilter();
interpolators[i] = makeInterpolator(decimatorParams.interpolation);
}
pickSample = new double[highestChan+1];
putSample = new int[highestChan+1];
/**
* This is a funny one - if skipping the start of a file, then the
* first sample number may not be zero, but we won't know this until the
* first raw data arrive, so set this null and deal with it in process(RawDataUnit)
*/
totalPutSamples = null;//new long[highestChan+1];
}
private Interpolator makeInterpolator(int order) {
switch (order) {
case 0:
return new PolyInterpolator0();
case 1:
return new PolyInterpolator1();
case 2:
return new PolyInterpolator2();
default:
return new PolyInterpolator0();
}
}
// long lastSampDur;
/**
* Run the decimator on the input data, return null if it's not
* in the channel list. <br>Also sometimes null if decimation ratio is not an integer factor
* @param inputData
* @return a new data unit or null
*/
public RawDataUnit process(RawDataUnit inputData) {
if (totalPutSamples == null) {
/**
* Have to do this here, since the sample number of the first data unit may be
* >> 0 if we're skipping the start of a file, so need to apply a scaled
* version of this offset to the output data to get correct sample numbers.
*/
long firstSample = (long) (inputData.getStartSample() * outputRate / inputRate);
totalPutSamples = new long[putSample.length];
Arrays.fill(totalPutSamples, firstSample);
}
RawDataUnit retUnit = null;
int chanMap = inputData.getChannelBitmap();
if ((chanMap & channelMap) == 0) {
return null;
}
int chan = PamUtils.getSingleChannel(chanMap);
long nInputSamps = inputData.getSampleDuration();
if (inputRate > outputRate) { // decimation
if (filteredData[chan] == null || filteredData[chan].length != nInputSamps) {
filteredData[chan] = new double[(int) nInputSamps];
}
filters[chan].runFilter(inputData.getRawData(), filteredData[chan]);
}
else { // upsampling - filter later.
filteredData[chan] = inputData.getRawData();
}
/**
* When processing offline files, sample numbers can change, e.g. at end of file
* there will be a partially filled data unit, so size will get smaller, then
* if cursor moved, size will go back to default. So need to be able to handle
* varying block sizes.
*/
int nOutSamps;
if (outputData[chan] == null) {
/*
* number of output samples is rounded up so that one inputData always fits into
* one output decimated data. However, there will be rare occasions when this function returns null
*
*/
nOutSamps = (int) Math.ceil(inputData.getSampleDuration() * outputRate / inputRate);
outputData[chan] = new double[nOutSamps];
outputStartMillis[chan] = inputData.getTimeMilliseconds();
// DaqSourceInfo si = inputData.getDaqSourceInfo();
// if (si != null) {
// daqSourceInfos[chan] = new DaqSourceInfo(si.getSourceName(), si.getSeconds());
// }
}
else {
nOutSamps = outputData[chan].length;
}
Interpolator interpolator = interpolators[chan];
interpolator.setInputData(filteredData[chan]);
try {
while (pickSample[chan] < (nInputSamps-.5)) {
// outputData[chan][putSample[chan]++] = filteredData[chan][(int) Math.round(pickSample[chan])];
outputData[chan][putSample[chan]++] = interpolator.getOutputValue(pickSample[chan]);
totalPutSamples[chan]++;
if (putSample[chan] == nOutSamps) {
retUnit = new RawDataUnit(outputStartMillis[chan], inputData.getChannelBitmap(), totalPutSamples[chan]-nOutSamps, nOutSamps);
retUnit.setRawData(outputData[chan], true);
// retUnit.setDaqSourceInfo(daqSourceInfos[chan]);
outputData[chan] = new double[nOutSamps];
outputStartMillis[chan] = inputData.getTimeMilliseconds() + (long) (pickSample[chan] / inputRate * 1000.);
// DaqSourceInfo ds = inputData.getDaqSourceInfo();
// if (ds != null) {
// daqSourceInfos[chan] = ds.copy(ds.getSeconds() + pickSample[chan] / inputRate);
// }
putSample[chan] = 0;
}
pickSample[chan] += inputRate / outputRate;
}
}
catch (Exception e) {
e.printStackTrace();
}
pickSample[chan] -= nInputSamps; // ready for the next one - should be > 0.
/*
* If upsampling, need to run the upsample filter now
*/
if (retUnit != null && inputRate < outputRate) {
filters[chan].runFilter(retUnit.getRawData());
}
return retUnit;
}
}