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In this article, the design and development of a 3D grain configuration representation method with small data and high accuracy are presented, by which a unified grain database is established. There are two vital components in our proposed method: the traditional signed distance field (SDF) method is used for the unified representation of the 3D grain configuration; the proper generalized decomposition is employed to decompose the original SDF function to compress the data. With the proposed method, the reconstruction of 3D grain configuration is realized with small data and high accuracy, based on which the similarity measurement of different grains is proposed and the reuse of the 3D grain configurations is realized. The efficacy and accuracy of the proposed method are validated by reconstructing 3D grain configurations and the burnback curves of two different grain models. The similarities of the eight grains are calculated, which are accurately consistent with the burning surface area calculations results. The experiment results demonstrate that the proposed methods are feasible and efficient, and are significant for design case data and knowledge reuse.

A new method, using training sequences to correct the block timing offset of the MC-CDMA system in a time-varying multipath channel with frequency offset, is proposed. This new method is compared with the Schmidl and Cox method in terms of estimator mean and variance, it being found that the new method is better.