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.

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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.

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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.

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