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具有最陡主瓣的最小方差时频分析

Time-frequency analysis of minimum variance with the steepest main lobe
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摘要 针对非平稳时间序列,基于最小方差谱估计提出自适应加窗的时频分析方法,所叠加的时间窗能够自适应地调整尺寸,使得所估计的谱具有最陡的瞬时主瓣以适应时频分析,从而获得满意的非平稳信号的时频分布。仿真结果以及与参考文献的方法比较表明,该方法能够提供更好的频率分辨率,时频分布性能更好。 Adaptive time-frequency analysis of non-stationary time sequences is proposed based on minimum variance spectral estimation.Time windows are added to the sequences with adaptive window size to make the power spectral characterize with the steepest main lobe for the time-frequency analysis with the best performances.
作者 沈希忠 孟光
机构地区 上海应用技术学院机械与自动化学院 上海交通大学机械系统与振动国家重点实验室
出处 《声学技术》 CSCD 北大核心 2008年第6期888-891,共4页 Technical Acoustics
基金 上海市教育委员会重点学科建设项目资助(J51501)
关键词 非平稳 自适应 时变窗 主瓣 non-stationary adaptivity varying window main lobe
分类号 TN911.72 [电子电信—通信与信息系统]
  • 相关文献

参考文献8

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二级参考文献7

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共引文献2

声学技术
2008年 第6期

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