A nonlinear filtering algorithm was presented to remove salt and pepper noise from gray-scale image while preserving details.

针对灰度图像的椒盐噪声滤波问题，提出一种保细节的非线性滤波算法。

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The simulation results show that the SVD-based nonlinear filtering algorithm has great interference suppression ability, and improves the performance of the system.

仿真结果表明，基于SVD的非线性滤波算法对干扰有很强的抑制能力，较好地改善了系统的性能。

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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.

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。

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