本文關(guān)鍵詞： Alpha穩(wěn)定分布 廣義S變換 時(shí)頻分析 分?jǐn)?shù)低階譜　出處：《信號(hào)處理》2014年06期 　論文類型：期刊論文

【摘要】：在分析Alpha穩(wěn)定分布噪聲干擾下的非高斯信號(hào)時(shí),基于傳統(tǒng)二階廣義S變換時(shí)頻算法效果顯著退化。針對(duì)該問(wèn)題,提出了基于分?jǐn)?shù)低階的廣義S變換時(shí)頻分析(FLO-GST)算法。該算法將分?jǐn)?shù)低階譜理論和常規(guī)廣義S變換時(shí)頻分布算法有機(jī)結(jié)合,同時(shí)優(yōu)化窗口調(diào)節(jié)因子改善時(shí)頻聚集性,得到較好的時(shí)頻圖譜。通過(guò)計(jì)算機(jī)仿真,并與其他時(shí)頻算法進(jìn)行對(duì)比,結(jié)果表明,該算法能有效抑制脈沖噪聲干擾,更好的描述穩(wěn)定分布噪聲下非平穩(wěn)信號(hào)的時(shí)頻圖譜,具有良好的韌性。
[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.
【作者單位】： 九江學(xué)院電子工程學(xué)院;江西省數(shù)控技術(shù)與應(yīng)用重點(diǎn)實(shí)驗(yàn)室;大連理工大學(xué)電子與信息工程學(xué)院;
【基金】：國(guó)家自然科學(xué)基金(61261046,60372081) 江西省教育廳科技項(xiàng)目(GJJ11244,GJJ11245,GJJ11621)
【分類號(hào)】：TN911.7
【正文快照】： 1引言時(shí)頻分析是處理非平穩(wěn)信號(hào)的有力工具,可描述其頻譜特性隨時(shí)間變化的信息。廣義S變換(Generalized S-Transform,GST)是C Robert Pinne-gar[1]、高靜懷[2]等人在Stockwell[3]的S變換基礎(chǔ)上改造提出的,與短時(shí)Fourier變換、小波變換和WVD等時(shí)頻變換方法相比,廣義S變換具有更

【參考文獻(xiàn)】

相關(guān)期刊論文 前9條

1 高靜懷,陳文超,李幼銘,田芳;廣義S變換與薄互層地震響應(yīng)分析[J];地球物理學(xué)報(bào);2003年04期

2 楊保海;朱亞軍;g，

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