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3D visualization model using cyclic distributions of complex 0–1 sequences

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2 Author(s)
Yao Zhou ; Sch. of Software, Yunnan Univ., Kunming, China ; Zheng, J.Z.

In advanced network information system sciences, many methods are applied to determine cyclic distributions of complex 0-1 sequences, such as time sequence and Poincare map method. Appropriate visualization models and methods are useful to describe cyclic distributions of complex 0-1 sequences. Time sequences using variant logic recursions and convert into measure sequences are discussed. It is convenient to apply 3D representation model to visualize cyclic distributions of complex 0-1 sequence, and display the results of typical measure sequences. The main procedure includes three stages: data acquisition, measuring determination and conditional visualization. Finally the related distributions are discussed and the exhibited characteristic of the method are summarized.

Published in:

Information Theory and Information Security (ICITIS), 2010 IEEE International Conference on

Date of Conference:

17-19 Dec. 2010