andrew@28: /*
andrew@28:  *  BayesianArrayStructure.cpp
andrew@28:  *  midiCannamReader
andrew@28:  *
andrew@28:  *  Created by Andrew on 17/07/2011.
andrew@28:  *  Copyright 2011 QMUL. All rights reserved.
andrew@28:  *
andrew@28:  */
andrew@28: 
andrew@28: //look at reset speed to one - what does this do? - get rid of?
andrew@28: 
andrew@28: 
andrew@28: #include "BayesianArrayStructure.h"
andrew@28: 
andrew@28: BayesianArrayStructure::BayesianArrayStructure(){
andrew@28: 	printf("Bayesian structure: DeFault constructor called");
andrew@30: 	usingIntegratedTempoEstimate = true;// use max index
andrew@28: 	
andrew@28: 	relativeSpeedLikelihoodStdDev = 5.0;
andrew@28: 	
andrew@28: 	prior.createVector(1);
andrew@28: 	likelihood.createVector(1);
andrew@28: 	posterior.createVector(1);
andrew@28: 
andrew@28: 	
andrew@28: 	speedPriorValue = 1.0;
andrew@28: 	speedEstimate = speedPriorValue;
andrew@28: 	
andrew@28: 	lastEventTime = 0;//ofGetElapsedTimeMillis();
andrew@28: 
andrew@28: 	tmpBestEstimate = 0;
andrew@28: 	crossUpdateTimeThreshold = 60;
andrew@28: 	priorWidth = 50;
andrew@28: 	
andrew@28: }
andrew@28: 
andrew@28: BayesianArrayStructure::BayesianArrayStructure(int length){
andrew@28: 	printf("BAYESIAN STURTUCRE CREATED LENGTH: %i\n", length);
andrew@28: 	//this constructor isnt called  it seems
andrew@28: 	prior.createVector(length);
andrew@28: 	likelihood.createVector(length);
andrew@28: 	posterior.createVector(length);
andrew@28: 	
andrew@28: 	lastEventTime = 0;
andrew@28: 	
andrew@28: 
andrew@28: }
andrew@28: 
andrew@28: 
andrew@28: 
andrew@28: void BayesianArrayStructure::resetSize(int length){
andrew@28: 	printf("BAYESIAN STRUCTURE size is : %i\n", length);
andrew@28: 	
andrew@28: 	prior.createVector(length);
andrew@28: 	likelihood.createVector(length);
andrew@28: 	posterior.createVector(length);
andrew@28: 	
andrew@28: 	acceleration.createVector(length);
andrew@28: 	
andrew@28: }
andrew@28: 
andrew@28: 
andrew@28: 
andrew@28: void BayesianArrayStructure::resetSpeedToOne(){
andrew@28: 	relativeSpeedPrior.zero();
andrew@28: 	relativeSpeedPosterior.zero();
andrew@28: 	relativeSpeedLikelihood.zero();
andrew@28: 	
andrew@28: 	
andrew@28: 	relativeSpeedPosterior.addGaussianShape(100, 20, 0.8);
andrew@28: 	relativeSpeedPosterior.renormalise();
andrew@28: 	relativeSpeedPosterior.getMaximum();
andrew@28: 	
andrew@28: 	setSpeedPrior(speedPriorValue);
andrew@28: 	speedEstimate = speedPriorValue;
andrew@28: 	
andrew@28: 	prior.zero();
andrew@28: 	posterior.zero();
andrew@28: 
andrew@28: 	posterior.addToIndex(0, 1);
andrew@28: 	posterior.renormalise();
andrew@28: 	
andrew@28: 
andrew@28: 	//acceleration.addGaussianShape(2000, 20, 0.8);
andrew@28: 	
andrew@28: }
andrew@28: 
andrew@28: void BayesianArrayStructure::setSpeedPrior(double f){	
andrew@28: 	speedPriorValue = f;
andrew@28: 	int index = relativeSpeedPosterior.getRealTermsAsIndex(speedPriorValue);
andrew@28: 	relativeSpeedPosterior.zero();
andrew@28: 	relativeSpeedPosterior.addGaussianShape(index, priorWidth, 0.8);
andrew@28: 	relativeSpeedPosterior.renormalise();
andrew@28: 	relativeSpeedPosterior.getMaximum();
andrew@28: 	relativeSpeedPrior.copyFromDynamicVector(relativeSpeedPosterior);
andrew@28: 	printf("BAYES STRUCTU ' SPEED PRIOR %f . index %i\n", speedPriorValue, index);
andrew@28: 	
andrew@28: }
andrew@28: 
andrew@28: void BayesianArrayStructure::resetSpeedSize(int length){
andrew@28: 	printf("BAYESIAN SPEED size is : %i\n", length);
andrew@28: 	
andrew@28: 	relativeSpeedPrior.createVector(length);
andrew@28: 	relativeSpeedLikelihood.createVector(length);
andrew@28: 	relativeSpeedPosterior.createVector(length);
andrew@28: 	tmpPosteriorForStorage.createVector(length);
andrew@28: 	
andrew@28: 	
andrew@28: 
andrew@28: }
andrew@28: 
andrew@28: void BayesianArrayStructure::setRelativeSpeedScalar(double f){
andrew@28: 	relativeSpeedPrior.scalar = f;
andrew@28: 	relativeSpeedPosterior.scalar = f;
andrew@28: 	relativeSpeedLikelihood.scalar = f;
andrew@28: }
andrew@28: 
andrew@28: 
andrew@28: void BayesianArrayStructure::setPositionDistributionScalar(double f){
andrew@28: 	if (f > 0){
andrew@28: 	prior.scalar = f;
andrew@28: 	posterior.scalar = f;
andrew@28: 	likelihood.scalar = f;
andrew@28: 	}
andrew@28: }
andrew@28: 
andrew@28: void BayesianArrayStructure::simpleExample(){
andrew@28: 	relativeSpeedPosterior.getMaximum();
andrew@28: 	relativeSpeedPrior.copyFromDynamicVector(relativeSpeedPosterior);
andrew@28: }
andrew@28: 
andrew@28: void BayesianArrayStructure::copyPriorToPosterior(){
andrew@28: 
andrew@28: 	for (int i = 0;i < prior.arraySize;i++){
andrew@28: 		posterior.array[i] = prior.array[i];
andrew@28: 	}
andrew@28: }
andrew@28: 
andrew@28: void BayesianArrayStructure::setStartPlaying(){
andrew@28: 	
andrew@28: 	lastEventTime = 0;
andrew@28: 	bestEstimate = 0;
andrew@28: 	lastBestEstimateUpdateTime = 0;
andrew@28: 	if (*realTimeMode)
andrew@28: 		lastBestEstimateUpdateTime = ofGetElapsedTimeMillis();
andrew@28: 	//cannot just be zero - offline bug
andrew@28: 	printf("start playing - best estimate %f\n", lastBestEstimateUpdateTime);
andrew@28: 	
andrew@28: 	resetArrays();
andrew@28: }
andrew@28: 
andrew@28: void BayesianArrayStructure::resetArrays(){
andrew@28: 	//called when we start playing
andrew@28: 	
andrew@28: 	prior.zero();
andrew@28: 	likelihood.zero();
andrew@28: 	posterior.zero();
andrew@28: 	
andrew@28: 	updateCounter = 0;
andrew@28: 	
andrew@31: 	posterior.offset = -1000;
andrew@28: 	setNewDistributionOffsets(0);
andrew@28: 	
andrew@28: 	int zeroIndex = posterior.getRealTermsAsIndex(0);
andrew@28: 	
andrew@28: 	posterior.addGaussianShape(zeroIndex, 500, 1);
andrew@28: 	//	posterior.addToIndex(0, 1);
andrew@28: 	likelihood.addConstant(1);
andrew@28: 	
andrew@28: 	updateCounter = 0;
andrew@28: 	
andrew@28: 
andrew@28: 	printf("bayes reset arrays - best estimate %f\n", lastBestEstimateUpdateTime);
andrew@28: 	
andrew@28: 	setSpeedPrior(speedPriorValue);
andrew@28: }
andrew@28: 
andrew@28: 
andrew@28: void BayesianArrayStructure::zeroArrays(){
andrew@28: 	prior.zero();
andrew@28: 	likelihood.zero();
andrew@28: 	posterior.zero();
andrew@28: 	
andrew@28: 	relativeSpeedPrior.zero();
andrew@28: 	relativeSpeedPosterior.zero();
andrew@28: 	relativeSpeedLikelihood.zero();
andrew@28: 
andrew@28: }
andrew@28: 
andrew@28: 
andrew@28: void BayesianArrayStructure::updateTmpBestEstimate(const double& timeDifference){
andrew@28: 	//input is the time since the start of playing
andrew@28: 	
andrew@28: //	double timeDiff = ofGetElapsedTimeMillis() - lastEventTime;//lastBestEstimateUpdateTime;
andrew@28: 	
andrew@28: 	tmpBestEstimate = posterior.getIndexInRealTerms(posterior.MAPestimate) + timeDifference*relativeSpeedPosterior.getIndexInRealTerms(relativeSpeedPosterior.integratedEstimate);
andrew@28: 	// 
andrew@28: 	//printf("tmp best %f and best %f time diff %f posterior MAP %f at speed %f\n", tmpBestEstimate, bestEstimate, timeDifference, posterior.getIndexInRealTerms(posterior.MAPestimate), relativeSpeedPosterior.getIndexInRealTerms(relativeSpeedPosterior.integratedEstimate));
andrew@28: 	//lastBestEstimateUpdateTime = ofGetElapsedTimeMillis();
andrew@28: }
andrew@28: 	
andrew@28: void BayesianArrayStructure::updateBestEstimate(const double& timeDifference){
andrew@28: //	double timeDiff = ofGetElapsedTimeMillis() - lastEventTime;//
andrew@28: 	
andrew@28: 	double timeDiff = timeDifference;
andrew@28: 	
andrew@28: 	//Using timedifferencfe here will make it go wrong. Is time since beginning of playing
andrew@28: 	
andrew@28: 	if (*realTimeMode)
andrew@28: 		timeDiff = ofGetElapsedTimeMillis() - lastBestEstimateUpdateTime;
andrew@28: 	
andrew@28: 	double speedEstimate;
andrew@28: 	if (usingIntegratedTempoEstimate)
andrew@28: 		speedEstimate = relativeSpeedPosterior.getIntegratedEstimate();
andrew@28: 	else
andrew@28: 		speedEstimate = relativeSpeedPosterior.MAPestimate;
andrew@28: 	
andrew@28: 	
andrew@28: 	speedEstimate = relativeSpeedPosterior.getIndexInRealTerms(speedEstimate);
andrew@28: 	//relativeSpeedPosterior.getIndexInRealTerms(relativeSpeedPosterior.MAPestimate)
andrew@28: 	bestEstimate = posterior.getIndexInRealTerms(posterior.MAPestimate) + timeDiff*speedEstimate;
andrew@28: 	
andrew@28: //	bestEstimate = tmpBestEstimate;
andrew@28: }
andrew@28: 
andrew@28: void BayesianArrayStructure::calculatePosterior(){
andrew@28: 	//posterior.doProduct(prior, likelihood);
andrew@28: 	
andrew@28: 	int i;
andrew@28: 	for (i = 0;i < posterior.length;i++){
andrew@28: 		posterior.array[i] = likelihood.array[i] * prior.array[i];
andrew@28: 	}
andrew@28: 	
andrew@28: 	
andrew@28: 	posterior.renormalise();
andrew@28: 	
andrew@28: 
andrew@28: 
andrew@28: 	 
andrew@28: }
andrew@28: 
andrew@28: 
andrew@28: 
andrew@28: 
andrew@28: void BayesianArrayStructure::setNewDistributionOffsets(const double& newOffset){
andrew@28: 	prior.offset = newOffset;
andrew@28: 	likelihood.offset = newOffset;
andrew@28: 	//posterior.offset = newOffset;
andrew@28: }
andrew@28: 
andrew@28: 
andrew@28: void BayesianArrayStructure::crossUpdateArrays(DynamicVector& position, DynamicVector& speed, double timeDifference){
andrew@28: 	//set the cutoff for offset of position first! XXX
andrew@28: 	
andrew@28: //	printf("time difference %f, ", timeDifference);
andrew@28: 	
andrew@28: 	double timeDifferenceInPositionVectorUnits = timeDifference / prior.scalar;
andrew@28: 	
andrew@28: 
andrew@28: 	prior.zero();//kill prior
andrew@28: 	calculateNewPriorOffset(timeDifference);//set new prior offset here
andrew@28: 	
andrew@28: 	if (timeDifferenceInPositionVectorUnits > crossUpdateTimeThreshold)
andrew@28: 		complexCrossUpdate(timeDifferenceInPositionVectorUnits);
andrew@28: 	else
andrew@28: 		translateByMaximumSpeed(timeDifferenceInPositionVectorUnits);	
andrew@28: 			
andrew@28: 
andrew@28: 	updateCounter++;
andrew@28: 	prior.renormalise();
andrew@28: 
andrew@28: }
andrew@28: 
andrew@28: void BayesianArrayStructure::complexCrossUpdate(const double& timeDifferenceInPositionVectorUnits){
andrew@28: 	int distanceMoved, newPriorIndex;
andrew@28: 	
andrew@28: 	double speedValue = relativeSpeedPosterior.offset;
andrew@28: 	
andrew@28: 	for (int i = 0;i < relativeSpeedPosterior.arraySize;i++){
andrew@28: 		
andrew@28: 	//	double speedValue = relativeSpeedPosterior.getIndexInRealTerms(i);//so for scalar 0.01, 50 -> speed value of 0.5
andrew@28: 		
andrew@28: 		//so we have moved 
andrew@28: 		distanceMoved = round(timeDifferenceInPositionVectorUnits * speedValue);//round the value
andrew@28: 	
andrew@28: 		if (relativeSpeedPosterior.array[i] != 0){
andrew@28: 			double speedContribution = relativeSpeedPosterior.array[i];
andrew@28: 			//	printf("speed [%i] gives %f moved %i in %f units \n", i, speedValue, distanceMoved, timeDifferenceInPositionVectorUnits);
andrew@28: 			
andrew@28: 			newPriorIndex = posterior.offset - prior.offset + distanceMoved;
andrew@28: 			
andrew@28: 			for (int postIndex = 0;postIndex < posterior.arraySize;postIndex++){
andrew@28: 				//old posterior contributing to new prior
andrew@28: 			//	newPriorIndex = postIndex + posterior.offset - prior.offset + distanceMoved;
andrew@28: 				
andrew@28: 				if (newPriorIndex >= 0 && newPriorIndex < prior.arraySize){
andrew@28: 					prior.addToIndex(newPriorIndex, posterior.array[postIndex]*speedContribution);
andrew@28: 				}
andrew@28: 				
andrew@28: 				newPriorIndex++;//optimised code - the commented line above explains how this works
andrew@28: 			}//end for
andrew@28: 			
andrew@28: 			
andrew@28: 		}//if not zero
andrew@28: 		speedValue += relativeSpeedPosterior.scalar;
andrew@28: 		//optimised line
andrew@28: 		//as we wanted:
andrew@28: 		//	double speedValue = relativeSpeedPosterior.getIndexInRealTerms(i);//so for scalar 0.01, 50 -> speed value of 0.5
andrew@28: 	}//end speed
andrew@28: }
andrew@28: 
andrew@28: 
andrew@28: 
andrew@28: void BayesianArrayStructure::translateByMaximumSpeed(const double& timeDifferenceInPositionVectorUnits){
andrew@28: 
andrew@28: 	int distanceMoved, newPriorIndex;
andrew@28: 	
andrew@28: 	double speedValue = relativeSpeedPosterior.getIndexInRealTerms(relativeSpeedPosterior.integratedEstimate);
andrew@28: 	//so for scalar 0.01, 50 -> speed value of 0.5
andrew@28: 	double speedContribution = relativeSpeedPosterior.array[relativeSpeedPosterior.integratedEstimate];
andrew@28: 		//so we have moved 
andrew@28: 		distanceMoved = round(timeDifferenceInPositionVectorUnits * speedValue);//round the value
andrew@28: 					//	printf("speed [%i] gives %f moved %i in %f units \n", i, speedValue, distanceMoved, timeDifferenceInPositionVectorUnits);
andrew@28: 			
andrew@28: 			for (int postIndex = 0;postIndex < posterior.arraySize;postIndex++){
andrew@28: 				//old posterior contributing to new prior
andrew@28: 				newPriorIndex = postIndex + posterior.offset - prior.offset + distanceMoved;
andrew@28: 				if (newPriorIndex >= 0 && newPriorIndex < prior.arraySize){
andrew@28: 					prior.addToIndex(newPriorIndex, posterior.array[postIndex]*speedContribution);
andrew@28: 				}
andrew@28: 				
andrew@28: 			}
andrew@28: 	
andrew@28: }
andrew@28: 
andrew@28: void BayesianArrayStructure::addGaussianNoiseToSpeedPosterior(const double& std_dev){
andrew@28: 	tmpPosteriorForStorage.copyFromDynamicVector(relativeSpeedPosterior);
andrew@28: 	
andrew@28: 	for (int i = 0;i < relativeSpeedPosterior.length;i++){
andrew@28: 		tmpPosteriorForStorage.addGaussianShape(i, std_dev, relativeSpeedPosterior.array[i]);
andrew@28: 		}
andrew@28: 												
andrew@28: 	tmpPosteriorForStorage.renormalise();
andrew@28: 	
andrew@28: 	relativeSpeedPosterior.copyFromDynamicVector(tmpPosteriorForStorage);											
andrew@28: }
andrew@28: 
andrew@28: 
andrew@28: void BayesianArrayStructure::addTriangularNoiseToSpeedPosterior(const double& std_dev){
andrew@28: 	tmpPosteriorForStorage.copyFromDynamicVector(relativeSpeedPosterior);
andrew@28: 	
andrew@28: 	for (int i = 0;i < relativeSpeedPosterior.length;i++){
andrew@28: 		//adding a linear amount depending on distance
andrew@28: 		tmpPosteriorForStorage.addTriangularShape(i, std_dev*2.0, relativeSpeedPosterior.array[i]);
andrew@28: 	}
andrew@28: 	
andrew@28: 	tmpPosteriorForStorage.renormalise();
andrew@28: 	
andrew@28: 	relativeSpeedPosterior.copyFromDynamicVector(tmpPosteriorForStorage);											
andrew@28: }
andrew@28: 
andrew@28: void BayesianArrayStructure::calculateNewPriorOffset(const double& timeDifference){
andrew@28: 	
andrew@28: 	double maxSpeed = relativeSpeedPosterior.getIndexInRealTerms(relativeSpeedPosterior.integratedEstimate);
andrew@28: 	//	printf("Maxspeed is %f\n", maxSpeed);
andrew@28: 	
andrew@28: 	double priorMax = posterior.getMaximum();
andrew@28: 	double distanceTravelled = maxSpeed * (timeDifference / prior.scalar);
andrew@28: 	double newMaxLocation = posterior.MAPestimate + distanceTravelled;
andrew@28: 	//	printf("MAP: %i, tim df %f, distance %f, new location %f\n", posterior.MAPestimate, timeDifference, distanceTravelled, newMaxLocation);
andrew@28: 	
andrew@28: }
andrew@28: 
andrew@28: 
andrew@28: void BayesianArrayStructure::decaySpeedDistribution(double timeDifference){
andrew@28: 	
andrew@28: 	// commented for the moment
andrew@28: 	 double relativeAmount = max(1.0, timeDifference/1000.);
andrew@28: //	printf("decay %f around %i \n", timeDifference, relativeSpeedPosterior.MAPestimate);
andrew@28: 	relativeAmount *= speedDecayAmount;
andrew@28: 	relativeSpeedPosterior.renormalise();
andrew@31: 	relativeSpeedPosterior.addGaussianShape(relativeSpeedPosterior.MAPestimate, speedDecayWidth, relativeAmount);
andrew@28: 	
andrew@28: 	relativeSpeedPosterior.renormalise();
andrew@28: 	double newMax = relativeSpeedPosterior.getMaximum();
andrew@28: 	
andrew@28: 	//old code
andrew@28: //	relativeSpeedPosterior.addGaussianShape(relativeSpeedPosterior.MAPestimate, speedDecayWidth, 10);
andrew@28: 	//relativeSpeedPosterior.addConstant(1);
andrew@28: 	
andrew@28: 	/*
andrew@28: 	relativeSpeedPrior.copyFromDynamicVector(relativeSpeedPosterior);
andrew@28: 	relativeSpeedLikelihood.zero();
andrew@28: 	relativeSpeedLikelihood.addConstant(0.2);
andrew@28: 	relativeSpeedLikelihood.addGaussianShape(relativeSpeedPosterior.maximumValue, speedDecayWidth, relativeAmount);
andrew@28: 	relativeSpeedPosterior.doProduct(relativeSpeedPrior, relativeSpeedLikelihood);
andrew@28: 	relativeSpeedPosterior.renormalise();
andrew@28: 	 */
andrew@28: 	
andrew@28: 
andrew@28: 	
andrew@28: }
andrew@28: 
andrew@28: void BayesianArrayStructure::setLikelihoodToConstant(){
andrew@28: 	//set new likelihood
andrew@28: 	relativeSpeedLikelihood.zero();
andrew@28: 	relativeSpeedLikelihood.addConstant(speedLikelihoodNoise);
andrew@28: }
andrew@28: 
andrew@28: 
andrew@28: void BayesianArrayStructure::updateTempoLikelihood(const double& speedRatio, const double& matchFactor){
andrew@28: 	
andrew@28: 	//speedratio is speed of played relative to the recording
andrew@28: 	
andrew@28: 	double index = relativeSpeedLikelihood.getRealTermsAsIndex(speedRatio);
andrew@28: 	//	printf("index of likelihood would be %f for ratio %f\n", index, speedRatio);
andrew@28: 	if (index >= 0 && index < relativeSpeedPrior.length){	
andrew@28: 		relativeSpeedLikelihood.addGaussianShape(index , relativeSpeedLikelihoodStdDev, matchFactor);
andrew@28: 	}
andrew@28: }
andrew@28: 	
andrew@28: 
andrew@28: 
andrew@28: void BayesianArrayStructure::updateTempoDistribution(){
andrew@28: 
andrew@28: 	//copy posterior to prior
andrew@28: 	relativeSpeedPrior.copyFromDynamicVector(relativeSpeedPosterior);
andrew@28: 
andrew@28: 	//update
andrew@28: 	relativeSpeedPosterior.doProduct(relativeSpeedPrior, relativeSpeedLikelihood);
andrew@28: 
andrew@28: 	//normalise
andrew@28: 	relativeSpeedPosterior.renormalise();
andrew@28: 		
andrew@28: 	relativeSpeedPosterior.getMaximum();	
andrew@28: 	
andrew@31: //	relativeSpeedPosterior.updateIntegratedEstimate();
andrew@31: 	relativeSpeedPosterior.updateLimitedIntegratedEstimate();
andrew@31: 	
andrew@28: 	speedEstimate = relativeSpeedPosterior.getIndexInRealTerms(relativeSpeedPosterior.integratedEstimate);
andrew@28: }
andrew@28: 
andrew@28: 
andrew@28: void BayesianArrayStructure::calculateTempoUpdate(){
andrew@28: 	//copy posterior to prior
andrew@28: 	relativeSpeedPrior.copyFromDynamicVector(relativeSpeedPosterior);
andrew@28: 	
andrew@28: 	//update
andrew@28: 	relativeSpeedPosterior.doProduct(relativeSpeedPrior, relativeSpeedLikelihood);
andrew@28: 	
andrew@28: 	//normalise
andrew@28: 	relativeSpeedPosterior.renormalise();
andrew@28: 	
andrew@28: 	relativeSpeedPosterior.getMaximum();	
andrew@28: 	
andrew@28: }
andrew@28: 
andrew@28: 
andrew@28: void BayesianArrayStructure::drawArrays(){
andrew@28: 	
andrew@28: 	//bayesArray.drawFloatArray(&bayesArray.prior[0], 0, 200);
andrew@28: 	//bayesArray.drawFloatArray(&bayesArray.prior[0], 0, 200);
andrew@28: 	
andrew@28: 	int displaySize = prior.arraySize;
andrew@28: 	ofSetColor(0,0,255);
andrew@28: 	prior.drawVector(0, displaySize);
andrew@28: 	ofSetColor(0,255,0);
andrew@28: 	likelihood.drawVector(0, displaySize);
andrew@28: 	ofSetColor(255,0,255);
andrew@28: 	posterior.drawVector(0, displaySize);
andrew@28: 	
andrew@28: 	
andrew@28: 	
andrew@28: }
andrew@28: 
andrew@28: 
andrew@28: void BayesianArrayStructure::drawTempoArrays(){
andrew@28: 	ofSetColor(0,0,255);
andrew@28: //	relativeSpeedPrior.drawVector(0, relativeSpeedPrior.arraySize);
andrew@28: 	
andrew@28: 	ofSetColor(0,150,255);
andrew@28: 	relativeSpeedLikelihood.drawVector(0, relativeSpeedLikelihood.arraySize);
andrew@28: 	
andrew@28: //	relativeSpeedLikelihood.drawConstrainedVector(0, 199, 0, 1000);// relativeSpeedLikelihood.arraySize);	
andrew@28: 	ofSetColor(255,0,0);
andrew@28: 	relativeSpeedPosterior.drawVector(0, relativeSpeedPosterior.arraySize);
andrew@28: 	
andrew@28: //	ofSetColor(0,0,255);
andrew@28: //	tmpPosteriorForStorage.drawVector(0, tmpPosteriorForStorage.arraySize);
andrew@28: 	
andrew@28: 	ofSetColor(255,255, 255);
andrew@28: 	ofLine(screenWidth/2, 0, screenWidth/2, ofGetHeight());//middle of screen
andrew@28: 	
andrew@28: 	ofSetColor(25, 0, 250);
andrew@28: 	double fractionOfScreen = ((double)relativeSpeedPosterior.integratedEstimate / relativeSpeedPosterior.length);
andrew@28: 	ofLine(screenWidth * fractionOfScreen, 0, screenWidth * fractionOfScreen, ofGetHeight());
andrew@28: 	
andrew@28: 	ofSetColor(255, 0, 20);
andrew@28: 	fractionOfScreen = ((double)relativeSpeedPosterior.MAPestimate / relativeSpeedPosterior.length);
andrew@28: 	ofLine(screenWidth * fractionOfScreen, 0, screenWidth * fractionOfScreen, ofGetHeight());
andrew@28: 	 
andrew@28: 	
andrew@28: }
andrew@28: 
andrew@28: 
andrew@28: void BayesianArrayStructure::drawArraysRelativeToTimeframe(const double& startTimeMillis, const double& endTimeMillis){
andrew@28: 
andrew@28: 	screenWidth = ofGetWidth();
andrew@28: 	
andrew@28: 	int startArrayIndex = 0;
andrew@28: 	
andrew@28: 	if (prior.getIndexInRealTerms(prior.arraySize-1) > startTimeMillis){
andrew@28: 		//i.e. the array is on the page
andrew@28: 	
andrew@28: 	while (prior.getIndexInRealTerms(startArrayIndex) < startTimeMillis){
andrew@28: 		startArrayIndex++;
andrew@28: 	}
andrew@28: 	int endArrayIndex = prior.arraySize-1;
andrew@28: 	//could find constraints here
andrew@28: 	if (prior.getIndexInRealTerms(prior.arraySize-1) > endTimeMillis)
andrew@28: 		endArrayIndex = (floor)((endTimeMillis - prior.offset)/prior.scalar);
andrew@28: 	
andrew@28: 	//so we need to figure where start and end array are on screen
andrew@28: 	int startScreenPosition, endScreenPosition;
andrew@28: 	double screenWidthMillis = endTimeMillis - startTimeMillis;
andrew@28: 		
andrew@28: 	startScreenPosition = (prior.getIndexInRealTerms(startArrayIndex) - startTimeMillis)*screenWidth/screenWidthMillis;
andrew@28: 	endScreenPosition = (double)(prior.getIndexInRealTerms(endArrayIndex) - startTimeMillis)*screenWidth/screenWidthMillis;
andrew@28: 		
andrew@28: 	ofSetColor(0,0,100);
andrew@28: 	string relativeString = " offset "+ofToString(prior.offset, 1);//starttimes("+ofToString(startTimeMillis)+", "+ofToString(endTimeMillis);
andrew@28: 	relativeString += ": index "+ofToString(startArrayIndex)+" , "+ofToString(endArrayIndex)+" [";
andrew@28: //	relativeString += ofToString(prior.getIndexInRealTerms(endArrayIndex), 3)+"] (sc-width:"+ofToString(screenWidthMillis, 1)+")  ";
andrew@28: 	relativeString += " mapped to screen "+ofToString(startScreenPosition)+" , "+ofToString(endScreenPosition);
andrew@28: //	ofDrawBitmapString(relativeString, 100, 180);
andrew@28: 	
andrew@28: 		
andrew@28: 		
andrew@28: 	ofSetColor(100,100,100);//255, 255, 0);
andrew@28: 	likelihood.drawConstrainedVector(startArrayIndex, endArrayIndex, startScreenPosition, endScreenPosition);
andrew@28: 
andrew@28: //	ofSetColor(0,0,200);
andrew@28: 	ofSetColor(170,170,170);//00,200);
andrew@28: 	prior.drawConstrainedVector(startArrayIndex, endArrayIndex, startScreenPosition, endScreenPosition);
andrew@28: 		
andrew@28: 		ofSetColor(0,0,150);	
andrew@28: //	ofSetColor(200, 0, 0);
andrew@28: 	posterior.drawConstrainedVector(startArrayIndex, endArrayIndex, startScreenPosition, endScreenPosition);
andrew@28: 		
andrew@28: 		
andrew@28: //	ofSetColor(0, 200, 255);
andrew@28: //	acceleration.drawConstrainedVector(startArrayIndex, endArrayIndex, startScreenPosition, endScreenPosition);
andrew@28: 		
andrew@28: 		
andrew@28: 	}
andrew@28: 
andrew@28: }
andrew@28: 
andrew@28: 
andrew@28: /*
andrew@28:  
andrew@28:  void BayesianArrayStructure::updateTempoDistribution(const double& speedRatio, const double& matchFactor){
andrew@28:  //speedratio is speed of played relative to the recording
andrew@28:  
andrew@28:  double index = relativeSpeedLikelihood.getRealTermsAsIndex(speedRatio);
andrew@28:  //	printf("\nindex of likelihood would be %f\n", index);
andrew@28:  if (index >= 0 && index < relativeSpeedPrior.length){
andrew@28:  //then we can do update
andrew@28:  
andrew@28:  //set new likelihood
andrew@28:  relativeSpeedLikelihood.zero();
andrew@28:  relativeSpeedLikelihood.addConstant(speedLikelihoodNoise);
andrew@28:  
andrew@28:  relativeSpeedLikelihood.addGaussianShape(index , 5, 0.5*matchFactor);
andrew@28:  
andrew@28:  
andrew@28:  //copy posterior to prior
andrew@28:  relativeSpeedPrior.copyFromDynamicVector(relativeSpeedPosterior);
andrew@28:  
andrew@28:  //update
andrew@28:  relativeSpeedPosterior.doProduct(relativeSpeedPrior, relativeSpeedLikelihood);
andrew@28:  
andrew@28:  //normalise
andrew@28:  relativeSpeedPosterior.renormalise();
andrew@28:  
andrew@28:  relativeSpeedPosterior.getMaximum();	
andrew@28:  }//end if within range
andrew@28:  
andrew@28:  
andrew@28:  }
andrew@28:  
andrew@28:  */