Dimensions estimating and the dimension-reducing algorithms for the adaptive multi-dimension division code |
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| Authors: | LI Zhijin ZHOU Jie QIAO Jie WU Wenjuan |
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| Affiliation: | (1. College of Electronic ＆ Information Engineering, Nanjing University of Information Science ＆ Technology, Nanjing 210044, China;
2. College of Science,Nanjing Forestry University, Nanjing 210017, China) |
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| Abstract: | When the dimension-weight(Q) equals the 4, Multi-Dimension Division Code algorithm is optimal. In this paper, we give the proof according to the principle of the Adaptive Multi-Dimension Division Code. The more the tags, the more the dimensions of the Multi-Dimension Division Code, and so we give the methods for tags estimation and dimensions estimation. Moreover, the algorithm for tags encoding after dimension-reduction is given, and the algorithm for tags decoding is given too. The Adaptive Multi-Dimension Division Code algorithm can significantly improve the efficiency of searching for tags whether in many collisions or few collisions. |
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| Keywords: | adaptive multi-dimension division code dimensions estimating dimension-reducing algorithms de-code algorithms |
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