同时论文进一步从有效性、可靠性、精度、配准质量、计算时间多个角度比较了两种算法的整体性能，得出了一些有益的结论。

The paper compares further the two algorithms from some aspects of validity, reliability, registration quality and computing time and obtain some beneficial results.

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基于这样的背景，本文从目标定位、时间配准和非线性滤波算法三个方面对多站纯方位被动跟踪系统进行了研究和算法改进。

According to this, this paper focuses on the study of bearings-only passive tracking system in the aspects of the target location, time alignment and nonlinear filtering algorithm.

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应用此算法求解医学图像配准的优化模型，可实现时间序列脑功能图像的高精度配准。

We find out higher accurate registration of the time series brain functional images by solving the images registration optimization problem.

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