• 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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  • In order to more effectively make use of local features to restore the noise-infected image, a nonlinear filtering algorithm based on local texture direction probability statistic model was proposed.

    为了更有效地利用图像的局部特征恢复被噪声感染的图像,基于图像局部纹理方向概率统计模型,提出一种针对混合噪声的非线性滤波算法。

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  • A nonlinear predictive tracking filtering algorithm is presented for maneuvering target, which is an innovations-based scheme of maneuver estimation.

    提出了一种直接根据新息的机动目标跟踪非线性预测跟踪滤波算法。

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  • A set membership filtering algorithm using ellipsoidal sets for nonlinear systems with unknown but bounded noises is proposed and applied to guaranteed fault detection and isolation(FDI).

    针对带有未知但有界噪声的非线性系统,提出一种椭球集员滤波算法,并将其应用于保证故障检测与隔离。

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  • So it can be concluded that in nonlinear systems distributed fusion algorithm based on converted measurement Kalman filtering can basically reconstruct centralized fusion algorithm.

    因此,在非线性系统中,基于转换测量值卡尔曼滤波算法的分布融合算法可以重构集中式融合算法。

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  • So it is concluded that in nonlinear systems distributed fusion algorithm based on converted measurement Kalman filtering can basically reconstruct a centralized fusion algorithm.

    因此,在非线性系统中,基于转换测量值卡尔曼滤波算法的分布融合算法可以重构集中式融合算法。

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  • A slightly modified strong tracking filtering algorithm is used to estimate the reduced-order state vector, which is then used to estimate the nonlinear state function.

    采用一种稍加修改的强跟踪滤波算法估计降阶状态向量,然后利用降阶状态向量估计非线性状态函数。

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  • In this paper, a new nonlinear weighted average multidirectional morphological filtering algorithm is proposed to suppress speckle noise.

    提出了一种新的用于抑制散斑噪声的非线性加权均值多方向形态滤波算法。

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  • A new nonlinear weighted average multidirectional morphological filtering algorithm is proposed, which is used in suppressing speckle noise.

    提出了一种新的用于散斑噪声抑制的非线性加权均值多方向形态滤波算法。

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  • The research results of dynamic state estimation algorithm were introduced, which were EKF method, UKF method, predictive Kalman filtering and nonlinear predictive Kalman filtering.

    简要分析了几种常见的动态估计方法,它们是EKF方法、UKF方法、预测卡尔曼滤波;

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  • The research results of dynamic state estimation algorithm were introduced, which were EKF method, UKF method, predictive Kalman filtering and nonlinear predictive Kalman filtering.

    简要分析了几种常见的动态估计方法,它们是EKF方法、UKF方法、预测卡尔曼滤波;

    youdao

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