Alpha稳定分布噪声条件下的广义S变换时频分析

发布时间：2018-01-22 15:40

本文关键词： Alpha稳定分布广义S变换时频分析分数低阶谱　出处：《信号处理》2014年06期 　论文类型：期刊论文

【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。
[Abstract]:In the analysis of non-#china_person0# signals with stable distributed noise of Alpha, the time-frequency algorithm based on the traditional second-order generalized S-transform degenerates significantly. The FLO-GST-based generalized S-transform time-frequency analysis algorithm is proposed, which combines the fractional low-order spectrum theory with the conventional generalized S-transform time-frequency distribution algorithm. At the same time, the window adjustment factor is optimized to improve the time-frequency aggregation, and a better time-frequency spectrum is obtained. Through computer simulation, and compared with other time-frequency algorithms, the results show that the algorithm can effectively suppress impulse noise interference. Better description of the time-frequency spectrum of non-stationary signals under stable distributed noise has good toughness.
【作者单位】：九江学院电子工程学院;江西省数控技术与应用重点实验室;大连理工大学电子与信息工程学院;
【基金】：国家自然科学基金(61261046,60372081) 江西省教育厅科技项目(GJJ11244,GJJ11245,GJJ11621)
【分类号】：TN911.7
【正文快照】： 1引言时频分析是处理非平稳信号的有力工具,可描述其频谱特性随时间变化的信息。广义S变换(Generalized S-Transform,GST)是C Robert Pinne-gar[1]、高静怀[2]等人在Stockwell[3]的S变换基础上改造提出的,与短时Fourier变换、小波变换和WVD等时频变换方法相比,广义S变换具有更

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