A reconstruction algorithm by cubic spline function interpolation, which is used to recover a signal from its dyadic wavelet transform extrema is proposed in this paper.
本文提出了用样条插值重构算法来实现由信号二进小波变换极值点重构原始信号。
In this paper, the author USES fast spline function curved surface interpolation method which is derived by the author to accomplish two dimensional discrete data gridding calculation.
本文采用首次提出的快速样条函数插值方法对二维离散数据进行曲面插值，进而作网格化计算。
It is acquired from that it makes use of that the interpolation function of cubic spline interpolation has a continuous third derivative on the base of two-dementional cubic convolution interpolation.
它在二维三次卷积插值法的基础上利用三次样条插值法的插值函数具有三阶连续导数的性质而得来的。
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