Package org.vocvark.DataTypes

Examples of org.vocvark.DataTypes.AggregatorDefinition


    /**
     * Constructs an AreaMoments aggregator.  This isn't valid until specific features are adde to the system (in a particular order).
     */
    public AreaMoments() {
        metadata = new AggregatorDefinition("Area Moments", "Calculates the first 10 2D statistical moments for the given features", false, null);
    }
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public class Mean extends AggregatorBaseImpl {

    int feature;

    public Mean() {
        metadata = new AggregatorDefinition("Mean", "This is the overall average over all windows.", true, null);
    }
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    /**
     * Constructs a new standard deviation aggregator.
     */
    public StandardDeviation() {
        metadata = new AggregatorDefinition("Standard Deviation", "Standard Deviation of the window-by-window data", true, null);
    }
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    /**
     * Constructs a new aggregator.  This aggregator is not valid until it has a feature list set as a parameter.
     */
    public MultipleFeatureHistogram() {
        metadata = new AggregatorDefinition("Multiple Feature Histogram", "a histogram of categories of input", false,
                new String[] {"Number of bins for 1st dimension"});
    }
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            name += " " + fe[i];
            description += " " + fe[i];
        }
        definition = new FeatureDefinition(name, description, true, dimensions);
        binsPerDimension = bins;
        metadata = new AggregatorDefinition("Multiple Feature Histogram",
                "a histogram of categories of input", false,
                new String[]{"Number of bins for 1st dimension"});
    }
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    String[] featureNames = null;
    int[] featureNameIndecis = null;

    public AreaPolynomialApproximation() {
        metadata = new AggregatorDefinition("2D Polynomial Approximation of a signal", "Calculates the coeefecients of a polynomial that approximates the signal", false, null);
    }
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    /**
     * Constructs a MFCC aggregator
     */
    public MFCC() {
        metadata = new AggregatorDefinition("MFCC", "Treats the window-by-window data as a 16kHz signal", true, null);
    }
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