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Fractional S-Transform: Resolution Analysis and Application

机译:分数S变换:分辨率分析和应用

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The fractional Fourier transform (FrFT) plays an important role in analyzing the chirp signal. However, it fails in locating the local frequency contents which is required in some applications. Although the short-time Fourier transform (STFT) works well in locating the local frequency contents, it only has the fixed local resolution. However, Stransform (ST) not only locates frequency contents well, but also has frequency-dependent varying resolution. In this paper, the fractional S-transform (FrST), which connects the properties of both ST and FrFT and uniquely combines a frequency dependent resolution of the time-frequency space with absolutely referenced local fractional spectrum, is proposed. In addition, the optimal transform parameter for resolution analysis is also investigated. Its properties are presented as well. Examples are given to verify our proposed algorithm.
机译:分数阶傅里叶变换(FrFT)在分析线性调频信号中起着重要的作用。但是,它无法定位某些应用中所需的本地频率内容。尽管短时傅立叶变换(STFT)在定位本地频率内容时效果很好,但它只有固定的本地分辨率。但是,Stransform(ST)不仅可以很好地定位频率内容,而且具有随频率变化的分辨率。本文提出了分数S变换(FrST),它将ST和FrFT的特性联系起来,并且将时频空间的频率相关分辨率与绝对引用的局部分数谱唯一地结合在一起。此外,还研究了用于分辨率分析的最佳变换参数。还介绍了它的属性。举例说明了我们提出的算法。

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