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• marf.FeatureExtraction: Javadoc index of package marf.FeatureExtraction.
Package Samples:
• marf.FeatureExtraction.Cepstral
• marf.FeatureExtraction.F0
• marf.FeatureExtraction.FFT
• marf.FeatureExtraction.LPC
• marf.FeatureExtraction.RandomFeatureExtraction
• marf.FeatureExtraction.Segmentation
• marf.FeatureExtraction.MinMaxAmplitudes
Classes:
• MinMaxAmplitudes: Min/Max Amplitudes. Extracts N minimum and X maximum amplitudes from a sample as features. If incoming sample array's length is less than N + X, it is adjusted to be N + X long with the length/2 value repeated N + X - length times. $Id: MinMaxAmplitudes.java,v 1.12 2005/08/13 23:09:37 susan_fan Exp $ TODO: needs improvement to select different amplitudes as we don't want 20 the same maximums or minimus if others are avaible.
• FeatureExtraction: Generic Feature Extraction Module. Every feature extraction module must extend this class; if it cannot then they must implement the IFeatureExtraction interface. $Id: FeatureExtraction.java,v 1.30 2005/08/05 22:19:54 mokhov Exp $
• RandomFeatureExtraction: Implementation of random feature extraction for testing as a baseline. $Id: RandomFeatureExtraction.java,v 1.14 2005/08/14 01:15:55 mokhov Exp $
• FeatureExtractionException: Class FeatureExtractionException. $Id: FeatureExtractionException.java,v 1.8 2005/08/13 23:09:37 susan_fan Exp $
• LPC: Class LPC implements Linear Predictive Coding. $Id: LPC.java,v 1.39 2005/08/13 23:09:37 susan_fan Exp $
• F0: Class F0 - the Fundamental Frequency Extraction. $Id: F0.java,v 1.16 2005/08/14 01:15:55 mokhov Exp $
• FFT: Class FFT implements Fast Fourier Transform. $Id: FFT.java,v 1.48 2005/08/13 23:09:37 susan_fan Exp $
• IFeatureExtraction: Feature Extraction Interface. $Id: IFeatureExtraction.java,v 1.4 2005/08/05 22:19:54 mokhov Exp $
• Segmentation: Class Segmentation. $Id: Segmentation.java,v 1.15 2005/08/13 23:09:37 susan_fan Exp $
• Cepstral: Class Cepstral. $Id: Cepstral.java,v 1.13 2005/08/13 23:46:43 susan_fan Exp $
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