本文介绍一种基于多模自适应估计的联邦滤波器的原理和特点。
This paper introduces the theory and characteristics of federated filter based on multi model adaptive estimation.
根据最小二乘原理和回归模型设计出消除噪声的自适应滤波器，以消除图像的噪声。
An adaptive filter is designed in the paper to remove the noise of an image in terms of the principle of least squares and regression model.
文章讨论如何根据最小二乘原理和回归模型设计出自适应滤波器，以用于消除图像噪声。
This paper discusses how to design an adaptive filter to remove the noise of an image in terms of the principle of least squares and regression 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.
本文讨论了一种带有参考通道的自适应环境噪声滤波器原理，该滤波器采用最小均方误差（LMS）算法。
One kind of theories of adaptive noise cancellation filter with referent channel based on Least Mean Square (LMS) algorism is discussed in this paper.
本文讨论了一种带有参考通道的自适应话音消噪滤波器原理，该滤波器采用最小均方差(LMS)算法。
In the paper, a kind of adaptive noise cancellation filter with reference channel based on Least Mean Square (LMS) algorithm is discussed.
给出了频域滤波的基本原理，重点研究了自适应高斯频域滤波器这一频域滤波算法。
We give the basic theory of frequency filtering. In the frequency domain, the work focuses on the adaptive Gaussian frequency filter.
本文介绍了自适应滤波器的基本原理，结构和应用；
The paper begins with the principle of adaptive filter, structure and application.
然后系统阐述了基本维纳滤波原理和自适应滤波器的基本结构模型，接着在此基础上结合最陡下降法引出LMS算法。
Then we explain basic theory of wiener filter and basic structure model of adaptive filter, and combine the method of steepest descent to deduce the LMS.
本文根据随机逼近原理提出了一种自适应卡尔曼滤波器，适用于被动声纳对水下噪声源的跟踪。
A self-adapting Kalman Filter based on the principle of stochastic approximatation is introduced in the paper. This filter provides an ideal means for the tracking of underwater noise source.
本文根据随机逼近原理提出了一种自适应卡尔曼滤波器，适用于被动声纳对水下噪声源的跟踪。
A self-adapting Kalman Filter based on the principle of stochastic approximatation is introduced in the paper. This filter provides an ideal means for the tracking of underwater noise source.
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