Publication | Closed Access
On multiple pattern extraction using singular value decomposition
94
Citations
10
References
1995
Year
EngineeringComponent Periodic WaveformsData MiningPattern RecognitionMultidimensional Signal ProcessingMultiple Pattern ExtractionKnowledge DiscoveryFeature ExtractionNew ConceptSpectrum EstimationStatistical Pattern RecognitionSingular Value DecompositionTimefrequency AnalysisSignal ProcessingWaveform AnalysisPattern Recognition Application
This paper presents a new concept of decomposition of a signal into component periodic waveforms. The singular value decomposition (SVD) is used for the detection of periodicity and separation of the component signals. The signal is configured for the sequential extraction of successively weaker components with different period lengths. The approach enjoys the numerical stability associated with SVD.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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