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提升小波包最优基分解算法及在振动信号降噪中的应用

LIFTING WAVELET PACKAGE DECOMPOSING ALGORITHM UNDER THE BEST BASES AND ITS APPLICATIONS IN DE-NOISING FOR VIBRATION SIGNAL

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【作者】 曹建军张培林任国全张英堂

【Author】 CAO Jian-jun1, ZHANG Pei-lin1,2, REN Guo-quan1, ZHANG Ying-tang1(1. Department of Artillery Engineering of Ordnance Engineering College, Shijiazhuang 050003, China; 2. College of Mechanical Engineering of Nanjing University of Science and Technology, Nanjing 210094, China)

【机构】 军械工程学院火炮工程系

【摘要】 提升小波包最优基分解,是影响提升小波包应用效果和效率的关键。提出了一种先序分解后序搜索的提升小波包最优基分解算法,该算法提升小波包先序分解和最优基后序搜索同时进行,只保留当前发现最好基下的分解系数,及时释放冗余存储空间,具有更高的空间效率,更适于信号在线处理。对算法进行了描述,并与自上而下完全分解、自下而上搜索算法进行了比较。将其应用于发动机缸盖振动信号降噪,取得了满意的效果。

【Abstract】 A lifting wavelet package decomposing method under the best bases was proposed, in which the lifting wavelet package preorder decomposing and the best bases postorder searching are processed simultaneously. Only the decomposing coefficients under the current best bases are recorded, and the redundant memory units can be released in time. The space efficiency is enhanced. The algorithm was described and compared with the traditional method. It was applied in de-noising for engine cylinder head vibration signal with satisfying effectiveness.

【基金】 国家自然科学基金资助项目(50705097);河北省自然科学基金资助项目(编号:E20004001048)
  • 【文献出处】 振动与冲击 ,Journal of Vibration and Shock , 编辑部邮箱 ,2008年08期
  • 【分类号】TH113.1
  • 【被引频次】20
  • 【下载频次】370
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