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Kernel decomposition of time-frequency distributions

机译:时频分布的核分解

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Bilinear time-frequency distributions (TFDs) offer improved time-frequency resolution over linear representations, but suffer from difficult interpretation, higher implementation cost, and the lack of associated low-cost signal synthesis algorithms. In the paper, the authors introduce some new tools for the interpretation and quantitative comparison of high-resolution TFDs. These tools are used in related work to define low-cost high-resolution TFDs and to define linear, low-cost signal synthesis algorithms associated with high-resolution TFDs. First, each real-valued TFD is associated with a self-adjoint linear operator /spl psi/. The spectral representation of /spl psi/ expresses the TFD as a weighted sum of spectrograms (SPs). It is shown that the SP decomposition and Weyl correspondence do not yield useful interpretations for high-resolution TFDs due to the fact that /spl psi/ is not positive.
机译:双线性时频分布(TFD)在线性表示形式上提供了改进的时频分辨率,但存在解释困难,实现成本较高以及缺乏相关的低成本信号合成算法的问题。在本文中,作者介绍了一些用于高分辨率TFD的解释和定量比较的新工具。这些工具用于相关工作中,以定义低成本的高分辨率TFD,并定义与高分辨率TFD相关的线性,低成本信号合成算法。首先,每个实值TFD与一个自伴随线性算子/ spl psi /相关联。 / spl psi /的频谱表示将TFD表示为频谱图(SP)的加权和。结果表明,由于/ spl psi /不是正数,因此SP分解和Weyl对应关系无法对高分辨率TFD产生有用的解释。

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