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

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。

Abstract: 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.