本文介绍了一种实际散斑模式的数学模型和噪声统计模型，并提出了一种针对这种模型的自适应次优滤波方法。
A statistical noise model and a mathematical model for real speckle pattern are presented, and then, in view of the models, a new adaptive suboptimal image filtering approach is proposed.
在建立回波抵消器模型的基础上，按最小均方误差准则，导出了自适应滤波器抽头的统计梯度算法和抽头调节的收敛公式。
Based on building up a model of echo canceller, the convergence of gradient-type stochastic adjustment algorithm of an adaptive filter under the mean-squared error criterion is discussed.
在噪声统计未知或时变的情况下，每个位置采用自适应卡尔曼滤波解算出平台各轴的漂移角速率，并在此基础上辨识出漂移参数。
In case of the noise statistic being unknown or variable, adaptive Kalman filter is used to get drift speed of each axle at each test position, and then drift parameter is calculated.
针对滤波发散的问题，引入了一种在线估计观测噪声统计特性的自适应滤波方法。
To solve the problem of filtering divergence, a method to estimate the statistical feature of measurement noise was introduced.
最后为了降低曲线的统计噪声，给出了一种简单适用的自适应滤波技术。
A simple and effective adaptive filter is used to decrease statistic noise of the curve.
作者根据局部时序信号与顺序统计量的关系提出了一种新的自适应滤波器算法，并研究了该算法的几项主要性质。
Authors, in this paper, propose and analyze a new kind of detail-preserving adaptive filter algorithm according to relations between local temporal signal and its order statistics.
方法分析加权顺序统计滤波器的优化算法，由此导出秩选择滤波器的自适应优化算法。
Methods By analyzing the adaptive optimization algorithm of weight order statistic filter, the adaptive optimization algorithm for rank selection filter has been derived.
研究了一种新颖的斑点噪声抑制自适应窗口算法，解决了局域统计自适应滤波器的窗口大小问题。
A new adaptive windowing algorithm for speckle noise suppression is proposed, solving the problem of window size associated with the local statistics adaptive filter.
本文在系统输入和输出噪声相关的条件下，提出一种新的噪声统计估值器和自适应状态滤波器，应用表明了它的有效性。
In this paper a kind of new estimators of noise statistics and adaptive filters of states are put forward in the case that input and output noises of systems are correlative.
在机动加速度“当前”统计自适应卡尔曼滤波算法的基础上，引入了基于Q - R矩阵分解的自适应卡尔曼滤波算法。
Based on the algorithm of maneuvering acceleration current statistical model adaptive filtering, the adaptive kalman filtering algorithm based on QR matrix decomposition is presented in this paper.
应用自适应滤波解决了实际中噪声统计特性不准确或未知的问题，提高了导航精度。
The adaptive filter is applied to the system in order to solve the question of inaccuracy or unknown noise statistics and to make navigation accuracy increase.
该算法克服了模糊交互多模型算法精度较低和当前统计模型自适应滤波器方差调整有限的缺点。
This algorithm overcomes the weakness of the FIMM with low estimation accuracy and the limitations of the adaptive filter based on the "current"statistical model.
本文介绍了基于信号局部统计性质的、能同时压制加性高斯噪声和脉冲噪声的自适应顺序统计滤波器的基本原理。
The paper introduced the basic principles of adaptive L-order statistic filter based on local statistic properties of signals and the features of suppression of Gaussian noise and pulse disturbance.
本文将图象噪声滤波器分为最佳滤波器、自适应加权均值滤波器和顺序统计滤波器三类。
The image noise filters are classified into optimal filters, adaptive weighted mean filters, and order statistics filters.
本文将图象噪声滤波器分为最佳滤波器、自适应加权均值滤波器和顺序统计滤波器三类。
The image noise filters are classified into optimal filters, adaptive weighted mean filters, and order statistics filters.
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