Iterative polynomial interpolation and data compression
作者： Morten DÆhlen , Michael Floater
DOI: 10.1007/BF02215679
关键词:
摘要: In this paper we look at some iterative interpolation schemes and investigate how they may be used in data compression. particular, use the pointwise polynomial method to decompose discrete into a sequence of difference vectors. By compressing these differences, one can store an approximation within specified tolerance using fraction original storage space (the larger tolerance, smaller fraction).
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