Wavelet Transform Moments for Feature Extraction from Temporal Signals

Autor:	Marko Vuskovic, Ignacio Rodriguez Carreño
Rok vydání:	2007
Předmět:	Discrete wavelet transform Wavelet Lifting scheme Computer science business.industry Stationary wavelet transform Second-generation wavelet transform Wavelet transform Pattern recognition Artificial intelligence Harmonic wavelet transform business Wavelet packet decomposition
Zdroj:	Informatics in Control, Automation and Robotics II ISBN: 9781402056253 ICINCO
DOI:	10.1007/978-1-4020-5626-0_28
Popis:	been proposed and used in classification of prehensile surface EMG patterns. The new method has essentially extended the Englehart’s discrete wavelet transform and wavelet packet transform by introducing more efficient feature reduction method that also offered better generalization. The approaches were empirically evaluated on the same set of signals recorded from two real subjects, and by using the same classifier, which was the Vapnik’s support vector machine.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::023fa1b09be3af2603dde35e7a04f202 https://doi.org/10.1007/978-1-4020-5626-0_28 Zobrazit plný text záznamu