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Copyright of Journal on Communication / Tongxin Xuebao is the property of Journal on Communications Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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Copyright of Journal of Jilin University (Science Edition) / Jilin Daxue Xuebao (Lixue Ban) is the property of Zhongguo Xue shu qi Kan (Guang Pan Ban) Dian zi Za zhi She and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Aiming at the situation of errors in observation data and coefficient matric in GPS Height anomaly, a robust total least squares (RTLS) is proposed with a IGGIII weight function based on standardized residuals. The method only takes the parts containing deviation in coefficient matrix into consideration. Taking the 80 groups GPS observation of benchmark as an example, the feasibility and accuracy of TRLS is analyzed compared with two kinds of experiment including 43 groups of data for fitting (4 groups of data with gross error) and 37 groups of data for testing. If the data have no robust, the result of RTLS is equal with robust LS. If the data have robust, the result of RTLS is better than robust LS. The experiment shows that the method of RTLS is the best choice when fitting GPS height anomaly. [ABSTRACT FROM AUTHOR]

The detection of entanglement is one of the most important problem in quantum information theory. Many separability criteria for bipartite system are hard to understand and calculate, or apply to multipartite system. This paper proposed a separability criterion based on the coefficient matrix for an arbitrary multipartite state. It could tell whether a state is a separable state or entangled state according to the rank of coefficient matrix. It demonstrates that this method can find the specifically separable form of a multipartite state by some explicit examples. Finally the proposed separability criterion is easy to understand and calculate. [ABSTRACT FROM AUTHOR]