期刊文献+

基于1阶Minkowski度量的多重分形谱算法 被引量:1

A Multifractal Spectrum Algorithm Based on 1-Norm Minkowski Measure
下载PDF
导出
摘要 针对目前广义维数多重分形谱算法运算量大,难以用于预警识别的现状,提出1阶Minkowski度量的多重分形谱算法,并将该算法用于坦克噪声预警识别试验。该方法根据广义维数定义本质,通过简化测度计算,减少运算量。试验表明,该算法在信噪比较低时,预警识别性能高于目前常用的过零率检测方法。 A generalized multifractal spectrum algorithm based on 1-norm Minkowski measure was pro- posed to resolve the problem that present multifractal spectrum algorithm was too complicated to be ap- plied in identification for early alarming, the experiment was implemented to prove the validity of the al- gorithm for tank-radiated noise identification as well. This algorithm reduced the numeration of the gener-alized muhi-fractal spectrum by simplifies the measure according to the definition of generalized dimension. The experiment demonstrates that under low SNR the ability of early alarming identification by this method is higher than zero-pass analyzing method we use today.
出处 《兵工学报》 EI CAS CSCD 北大核心 2012年第7期822-825,共4页 Acta Armamentarii
基金 总装备部预先研究项目(ZLY2008424)
关键词 信息处理技术 预警识别 多重分形谱 坦克噪声 information processing identification for early alarming muhifractal spectrum tank-radiated noise
  • 引文网络
  • 相关文献

参考文献8

二级参考文献57

共引文献68

同被引文献11

引证文献1

二级引证文献6

;
使用帮助 返回顶部