WPTER: wavelet packet transform for efficient pattern recognition of signals

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• 作者：Cocchi ; Marina ; Seeber ; Renato ; Ulrici ; Alessandro
• 关键词：Signal processing ; Pattern recognition ; Classification ; Wavelet Packet Transform
• 刊名：Chemometrics and Intelligent Laboratory Systems
• 出版年：2001
• 出版时间：July 25, 2001
• 年：2001
• 卷：57
• 期：2
• 页码：97-119
• 全文大小：1.36 M

文摘

In the present work, we propose a novel algorithm based on the Wavelet Packet Transform (WPT) for pattern recognition of signals, which operates both feature selection and classification at the same time: Wavelet Packet Transform for Efficient pattern Recognition of signals (WPTER). The distinctive characteristics of WPTER with respect to the previously proposed algorithms for the WPT-based classification of signals consist mainly of two aspects: (1) a Classification Ability criterion is introduced into the procedure for selection of the best discriminant basis; (2) the signals are reconstructed in the original domain by using only the selected wavelet coefficients, which allow for chemical interpretation of the results.