Curve Fitting by a Sum of Gaussians

Goshtasby A., Oneill W.D.
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引用次数: 86

Abstract

Gaussians are useful in multiscale representation of video data. An algorithm is presented which approximates a sequence of uniformly spaced single-valued data by a sum of Gaussians with a prescribed accuracy. The scale-space image [6] of the data is used to estimate the number of Gaussians and their initial parameters. The Marquardt algorithm (J. SIAM 11(2), 1963, 431-441) is then used to optimize the parameters.

用高斯函数和进行曲线拟合
高斯分布在视频数据的多尺度表示中非常有用。提出了一种算法,用高斯函数的和来近似一列等间距单值数据,并具有一定的精度。利用数据的尺度空间图像[6]估计高斯函数的个数及其初始参数。然后使用Marquardt算法(J. SIAM 11(2), 1963, 431-441)对参数进行优化。
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