Information Quality Ratio as a novel metric for mother wavelet selection

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• 作者：Dedy Rahman Wijaya^a ; ^b ; ; Riyanarto Sarno^a ; Enny Zulaika^c
• 关键词：Information Quality Ratio ; Electronic nose ; Wavelet transform ; Mother wavelet selection
• 刊名：Chemometrics and Intelligent Laboratory Systems
• 出版年：2017
• 出版时间：15 January 2017
• 年：2017
• 卷：160
• 期：Complete
• 页码：59-71
• 全文大小：1959 K
• 卷排序：160

文摘

An Information Quality Ratio (IQR) for mother wavelet selection was proposed. An investigation of the effect of wavelet decomposition was performed. The best-suited mother wavelets for the electronic nose signals were identified. IQR outperformed the common metrics e.g. SNR, MSE, and correlation coefficient.