Alpha稳定分布噪声条件下的广义S变换时频分析 |
| |
引用本文: | 舒彤,余香梅,查代奉,邱天爽. Alpha稳定分布噪声条件下的广义S变换时频分析[J]. 信号处理, 2014, 30(6): 634-641 |
| |
作者姓名: | 舒彤 余香梅 查代奉 邱天爽 |
| |
作者单位: | 九江学院电子工程学院 |
| |
基金项目: | 国家自然科学基金(61261046,60372081);江西省教育厅科技项目(GJJ11244,GJJ11245,GJJ11621) |
| |
摘 要: | 在分析Alpha稳定分布噪声干扰下的非高斯信号时,基于传统二阶广义S变换时频算法效果显著退化。针对该问题,提出了基于分数低阶的广义S变换时频分析(FLO-GST)算法。该算法将分数低阶谱理论和常规广义S变换时频分布算法有机结合,同时优化窗口调节因子改善时频聚集性,得到较好的时频图谱。通过计算机仿真,并与其他时频算法进行对比,结果表明,该算法能有效抑制脉冲噪声干扰,更好的描述稳定分布噪声下非平稳信号的时频图谱,具有良好的韧性。
|
关 键 词: | Alpha稳定分布 广义S变换 时频分析 分数低阶谱 |
收稿时间: | 2013-10-16 |
Time-Frequency Distribution of Generalized S-Transform Under Alpha Stable Distributed Noise Conditions |
| |
Affiliation: | College of Electronic and Engineering,Jiujiang University,Jiujiang |
| |
Abstract: | In order to solve the problem that generalized s-transform time-frequency distribution method is invalid under α-stable distribution noise environments. This paper proposes an improved fractional lower order generalized s-transform (FLO-GST) algorithm. It combines the theory of fractional lower order spectrum with conventional generalized s-transform time-frequency distribution algorithm, and at the same time introduces regulatory factor of window function to improve time-frequency concentration. The simulation results and analysis show that, compared to conventional methods of time-frequency analysis, the proposed method is more robust under α-stable distribution interference environments than conventional methods. |
| |
Keywords: | |
|
| 点击此处可从《信号处理》浏览原始摘要信息 |
|
点击此处可从《信号处理》下载免费的PDF全文 |