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https://github.com/DSheirer/sdrtrunk.git
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Resolves #269 - creates a generic Viterbi decoder and a Digital Mobile Radio (DMR) 3/4 Rate Viterbi decoder implementation for decoding Trellis Coded Modulation (TCM) encoded DMR Data packets.
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226
src/edac/trellis/ViterbiDecoder.java
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226
src/edac/trellis/ViterbiDecoder.java
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/*******************************************************************************
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* sdrtrunk
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* Copyright (C) 2014-2017 Dennis Sheirer
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*
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* This program is free software: you can redistribute it and/or modify
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* it under the terms of the GNU General Public License as published by
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* the Free Software Foundation, either version 3 of the License, or
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* (at your option) any later version.
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*
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* This program is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*
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* You should have received a copy of the GNU General Public License
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* along with this program. If not, see <http://www.gnu.org/licenses/>
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*
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******************************************************************************/
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package edac.trellis;
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import java.util.ArrayList;
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import java.util.Collection;
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import java.util.HashMap;
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import java.util.Map;
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public abstract class ViterbiDecoder
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{
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private int mInputBitLength;
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private int mInputValueCount;
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private int mOutputBitLength;
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private int mOutputValueCount;
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/**
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* Viterbi decoder for trellis coded modulation (TCM) encoded binary sequences.
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*
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* @param inputBitLength for coding (e.g. 3/4 rate input bit length is 3)
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* @param outputBitLength for coding (e.g. 3/4 rate output bit length is 4)
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*/
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public ViterbiDecoder(int inputBitLength, int outputBitLength)
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{
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mInputBitLength = inputBitLength;
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mOutputBitLength = outputBitLength;
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mInputValueCount = (int)Math.pow(2.0, mInputBitLength);
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mOutputValueCount = (int)Math.pow(2.0, mOutputBitLength);
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}
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/**
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* Creates a node that represents an input value and the actual/transmitted output value.
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*
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* Note: this method must be implemented by a sub-class since the node requires a specific state transition
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* table/matrix implementation.
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*
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* @param inputValue for the specific trellis node
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* @param transmittedOutputValue the actual transmitted output value
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* @return node for decoding
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*/
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protected abstract Node createNode(int inputValue, int transmittedOutputValue);
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/**
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* Creates a flushing or final node that represents an actual/transmitted output value and a flushing input value.
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*
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* The final flushing input value is implementation-specific, therefore this will be implemented in any subclass
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* of this decoder. A normal flushing input value is zero.
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*
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* @param transmittedOutputValue the actual transmitted output value
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* @return flushing node
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*/
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protected abstract Node createFlushingNode(int transmittedOutputValue);
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/**
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* Creates a starting node that represents a starting state and notional transmitted output value.
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*
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* The starting input value is implementation-specific, therefore this will be implemented in any subclass
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* of this decoder. A normal starting input value is zero.
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*
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* @return starting node
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*/
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protected abstract Node createStartingNode();
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/**
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* Size in bits of the input and state values (e.g. 3/4 rate input size is 3)
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*
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* @return input bit size
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*/
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public int getInputBitLength()
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{
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return mInputBitLength;
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}
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/**
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* Count of input or state values where the set of values is in the range of 0 <> count - 1
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*
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* @return input or state values count
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*/
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public int getInputValueCount()
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{
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return mInputValueCount;
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}
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/**
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* Size in bits of the output constellation or transmitted symbol value (e.g. 3/4 rate output size is 4)
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*
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* @return output size in bits
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*/
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public int getOutputBitLength()
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{
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return mOutputBitLength;
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}
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/**
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* Count of input or state values where the set of values is in the range of 0 <> count - 1
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*
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* @return input or state values count
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*/
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public int getOutputValueCount()
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{
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return mOutputValueCount;
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}
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/**
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* Decodes the TCM encoded transmitted output values and returns a path the represents the most likely transmitted
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* sequence of nodes.
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*
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* @param transmittedOutputValues from the encoded message
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* @return most likely path representing the transmitted values
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*/
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public Path decode(int[] transmittedOutputValues)
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{
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Collection<Path> survivingPaths = new ArrayList<>();
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survivingPaths.add(new Path(createStartingNode()));
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//Add all but the last transmitted value to the starting path, creating a set of survivors at each iteration.
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for(int x = 0; x < transmittedOutputValues.length - 1; x++)
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{
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survivingPaths = add(survivingPaths, transmittedOutputValues[x]);
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}
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//Flush the survivors with the final transmitted value and return the lone surviving path
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return flush(survivingPaths, transmittedOutputValues[transmittedOutputValues.length - 1]);
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}
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/**
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* Creates a set of new nodes representing all possible input values and the transmitted output value argument
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* and iteratively adds the set of nodes to a copy of each of the surviving paths. A set of surviving paths is
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* returned that represents each path that terminates at a distinct input/state value that has the least error
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* value.
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*
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* @param survivingPaths from the previous time instant to evaluate for the next time instant in the trellis
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* using the transmitted output value.
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*
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* @param transmittedOutputValue that will be decoded for this time instant.
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*
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* @return paths that have survived (ie have the lowest error value) after adding nodes for the transmitted
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* output value
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*
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*/
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public Collection<Path> add(Collection<Path> survivingPaths, int transmittedOutputValue)
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{
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Map<Integer,Path> survivingPathMap = new HashMap<>();
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for(int x = 0; x < getInputValueCount(); x++)
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{
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//Create a single/unique node for each possible input value combined with the transmitted output value
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Node node = createNode(x, transmittedOutputValue);
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//Evaluate each surviving path by creating a copy and adding the node to it and see if it survives
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for(Path path: survivingPaths)
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{
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Path pathToEvaluate = path.copyOf();
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pathToEvaluate.add(node);
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if(survivingPathMap.containsKey(node.getInputValue()))
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{
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Path survivingPath = survivingPathMap.get(node.getInputValue());
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//Replace the current survivor path if this evaluate path has a lower error value
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if(pathToEvaluate.getError() < survivingPath.getError())
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{
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survivingPathMap.put(node.getInputValue(), pathToEvaluate);
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}
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}
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else
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{
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//No survivor yet -- set this evaluate path as the first survivor
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survivingPathMap.put(node.getInputValue(), pathToEvaluate);
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}
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}
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}
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return survivingPathMap.values();
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}
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/**
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* Flushes each of the surviving paths with a final/flushing node using the transmitted symbol. A final flushing
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* input value or state is implementation-specific, but normally uses a value of zero. Since all paths will be
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* evaluated against each other as terminating at the same state, only the path with the lowest error value will
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* be returned from this method.
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*
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* @param survivingPaths to flush with the final flushing node
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* @param transmittedOutputValue to use for the final flushing node
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*
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* @return the single survivor path that remains after adding the flushing node to each of the candidate argument
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* survivor paths.
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*/
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public Path flush(Collection<Path> survivingPaths, int transmittedOutputValue)
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{
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Node flushingNode = createFlushingNode(transmittedOutputValue);
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Path bestPath = null;
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for(Path survivingPath: survivingPaths)
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{
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survivingPath.add(flushingNode);
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if(bestPath == null || (survivingPath.getError() < bestPath.getError()))
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{
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bestPath = survivingPath;
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}
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}
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return bestPath;
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}
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}
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