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Fractional Gabor spectral estimation for multi-component signals

机译:多分量信号的分数Gabor光谱估计

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We present a high resolution time-frequency spectral analysis method for multi-component signals based on a discrete fractional Gabor expansion. The proposed discrete fractional Gabor expansion uses the closed form discrete fractional Fourier kernel and generates a parallelogram-shaped time-frequency plane tiling. Completeness and biorthogonality conditions of the new expansion are derived. We also present a search algorithm to obtain optimal analysis fraction orders for an arbitrary, multi-component signal to estimate a high resolution Gabor spectrum.
机译:我们为基于离散的分数Gabor扩展展示了一种高分辨率时频谱分析方法,用于多分量信号。所提出的离散分数Gabor扩展使用闭合形式离散的分数傅立叶内核,并产生平行四边形时频平面平铺。派生新扩展的完整性和双正交性条件。我们还介绍了一种搜索算法,以获得任意的多分量信号的最佳分析分数级,以估计高分辨率Gabor谱。

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