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java.lang.ObjectjAudioFeatureExtractor.Aggregators.Aggregator
jAudioFeatureExtractor.Aggregators.AreaPolynomialApproximation
public class AreaPolynomialApproximation
This specific aggregator was first released in an August 2010 working paper by Daniel McEnnis. It transforms a 2D matrix of signal feature vectors into a set of coeffecients of the polynomial function f(x,y) that bests matches the given signal. It is calucalated by constructing a matrix of coeffecients by substituting concrete data points into each term that coeffecient is attached to (such as x^2*y^3) and a answer matrix is created from the signal at that matrix index. The coeffecients are then calculated by a least squares minimization matrix solver (colt matrix function).
Utuilizes the Colt java matrix package.
Field Summary |
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Fields inherited from class jAudioFeatureExtractor.Aggregators.Aggregator |
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LINE_SEP |
Constructor Summary | |
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AreaPolynomialApproximation()
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Method Summary | |
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void |
aggregate(double[][][] values)
Aggregates the values of the features specified by the init function accross all windows of the data recieved. |
java.lang.Object |
clone()
Create a new aggregator of the same class |
FeatureDefinition |
getFeatureDefinition()
Description of a particular instantiation of an aggregate. |
java.lang.String[] |
getFeaturesToApply()
Provide a list of features that are to be aggregated by this feature. |
java.lang.String[] |
getParamaters()
Provide a list of the values of all parameters this aggregator uses. |
void |
init(int[] featureIndecis)
Specifies which Features are to be extracted and the index of these features in the values array that will passed into the aggregate function |
void |
setParameters(java.lang.String[] featureNames,
java.lang.String[] params)
Set parameters of the aggregator to the given values. |
Methods inherited from class jAudioFeatureExtractor.Aggregators.Aggregator |
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calculateOffset, collapseFeatures, getAggregatorDefinition, getResults, outputACEFeatureKeyEntries, outputACEValueEntries, outputARFFHeaderEntries, outputARFFValueEntries, setSource |
Methods inherited from class java.lang.Object |
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equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Constructor Detail |
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public AreaPolynomialApproximation()
Method Detail |
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public void aggregate(double[][][] values)
Aggregator
aggregate
in class Aggregator
values
- complete array of the extracted features. Indecis are window,
feature, and then feature value.public java.lang.Object clone()
Aggregator
clone
in class Aggregator
public FeatureDefinition getFeatureDefinition()
Aggregator
getFeatureDefinition
in class Aggregator
public java.lang.String[] getFeaturesToApply()
Aggregator
getFeaturesToApply
in class Aggregator
public void init(int[] featureIndecis) throws java.lang.Exception
Aggregator
init
in class Aggregator
featureIndecis
- Indecis of these features in the array passed in aggregate
java.lang.Exception
- if either parameter is null, of dicffering lengths, or
contain invalid index values.public java.lang.String[] getParamaters()
Aggregator
getParamaters
in class Aggregator
public void setParameters(java.lang.String[] featureNames, java.lang.String[] params) throws java.lang.Exception
Aggregator
setParameters
in class Aggregator
featureNames
- strings matching features for specific aggregation.params
- strings that can be cast by toString to the appropriate parameter types.
java.lang.Exception
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