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《Sensor World》 2006-01
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Study On Wavelet Variance And Its Application In Signal Feature Extraction

The wavelet variance is introduced based on wavelet transform. Its utility of reflecting the statistic characteristics of random signals and application in feature extraction are analyzed. At last, taking one style of signal acquired from oil exploration as an example, wavelet variance is applied in analyzing and extracting the valid pulses polluted by noise. Research and the case indicate that wavelet variance is an effective approach to extracting signal feature.
【Fund】: 西安理工大学“特色与研究创新基金”;; 陕西省教育厅科技专项基金;; 陕西省“火炬计划(2002KH52)”
【CateGory Index】: TN911
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