基于小波变换的树木年轮微密度信号处理  

Signal processing of tree-ring micro-density based on wavelet transform

作　　者：黄莉莉[1] 印崧[1] 刘盛全[2] 夏萍[1] 

机构地区：[1]安徽农业大学工学院,合肥230036 [2]安徽农业大学林学与园林学院,合肥230036

出　　处：《安徽农业大学学报》2010年第4期661-664,共4页Journal of Anhui Agricultural University

基　　金：安徽农业大学2009年度青年科学基金(2009zr05);安徽高等学校省级自然科学研究项目产学研重点项目(2009A035)共同资助

摘　　要：对树木年轮微密度信号进行分析,采用小波多分辨分析方法获取微密度近似信号,并通过重构误差和相位一致性分析,选出适于微密度信号多尺度分析方法的最优小波基。结果表明,小波变换有利于年轮微密度边界点识别和总体趋势分析;db5小波重构精确高、相位失真误差小,是树木年轮微密度信号小波变换的最优小波基。The tree-ring micro-density signal was analyzed in this article. To select optimum wavelet base which is suitable for multi-scale analytical method of micro-density, we obtained approximate signal by wavelet multiresolution analysis and through the analysis of reconstruction error and phase consistence. The result indicates that wavelet transform is good for both the recognition of tree-ring micro-density＇s boundary point and the overall trend analysis. With high precision of reconstruction and low phase distribution, db5 wavelet is the optimum wave base for tree-ring micro-density wavelet transform.

关 键 词：小波变换 年轮微密度 多分辨分析 

分 类 号：S781[农业科学—木材科学与技术]