Method for Estimating Parameters of a Graph Spectral Filter Using Training Data
    1.
    发明申请
    Method for Estimating Parameters of a Graph Spectral Filter Using Training Data 审中-公开
    使用训练数据估计图谱滤波器参数的方法

    公开(公告)号:US20150112897A1

    公开(公告)日:2015-04-23

    申请号:US14060894

    申请日:2013-10-23

    Abstract: A method processes a signal represented as a graph by first determining a graph spectral transform based on the graph. In a spectral domain, parameters of a graph filter are estimated using a training data set of unenhanced and corresponding enhanced signals. The graph filter is derived based on the graph spectral transform and the estimated graph filter parameters. Then, the signal is processed using the graph filter to produce an output signal. The processing can enhance signals such as images b denoising or interpolating missing samples.

    Abstract translation: 一种方法通过首先基于该图确定图谱谱变换来处理表示为图形的信号。 在频谱域中,使用未增强和相应的增强信号的训练数据集来估计图形滤波器的参数。 图形滤波器基于图谱变换和估计的图形滤波器参数导出。 然后,使用图形滤波器处理信号以产生输出信号。 该处理可以增强诸如图像去除或内插丢失样本的信号。

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