本文对交叉证认技术选取平滑因子的若干问题进行了探讨，许采用模拟数据的方式验证了作者的观点。
In this paper, some problems about smoothing factor selected by cross-validation technique are discussed and tested by using the simulation data.
本文提出了一种利用多变量最小二乘法确定最佳数据平滑因子的方法，建立了优化平滑器特性的数学模型。
The paper presents the multi-variable least square method to determine the optimal factor of data smoothing and its amplitude-frequency characteristics and compares it with the general filter.
针对边界部分有重叠的图象，提出了一种基于网格匹配的快速对准算法，并通过平滑因子对图象实现了无缝拼接。
In this paper, we present a fast stitching algorithm for the overlapping images based on grid matching, which makes images matching correctly, stitching images seamless and smooth.
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