摘要
从多结点样条理论出发 ,提出一种自适应的多层次淘汰冗余数据的算法 ,并通过不同的采样数据对算法进行了有效的论证 充分利用多结点样条函数拟合的基数型、显式计算和局部性等优点
A self adapting and multi scale scheme for washing out redundant data is proposed by utilizing many knot spline theory Validity of the algorithm is demonstrated by testing it with different kinds of sampling data This method takes the full advantage of many knot spline fitting, such as cardinal type, explicit calculation and localization This approach can find application in data compression and its pretreatment process
出处
《计算机辅助设计与图形学学报》
EI
CSCD
北大核心
2004年第5期619-624,共6页
Journal of Computer-Aided Design & Computer Graphics
基金
国家自然科学基金 ( 6 0 1330 2 0
10 0 710 87)
国家重点基础研究发展计划项目(G19980 30 6 0 8)资助