该方法采用自适应高斯滤波器对原始曲线进行平滑处理以消除噪声影响，并提出了一种适合于圆弧曲线拟合的分段算法。
This method adopts self-adaptive gauss filter to process original curve smoothly to eliminate noise effects, and proposes a fragrmented algorithm that is adaptive to circular arc.
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.
为了去除图像中混入的脉冲噪声和高斯噪声，提出了一种基于自适应中值滤波和自适应加权均值滤波的混合滤波方法。
To remove mixed impulse noise and Gaussian noise in digital images, a hybrid filter based on the adaptive median filter and the adaptive weighted mean filter are proposed.
为了提高直扩通信系统在高斯白噪声背景下抑制窄带干扰的能力，采用了归一化最小均方自适应（NLMS）滤波技术。
Normalized least mean square(NLMS)adapting filtering technology has been applieread spectrum c mmunication system to lim t narrowband interferences in the situationd tosp oi of Gaun ises.
文章提出了一种新的自适应平滑滤波方法，并据此设计自适应高斯核平滑滤波来抑制红外图像中的随机噪声。
The paper proposes a new method of adaptive smooth filter, based on that to design a Gaussian kernel adaptive smooth filter so as to suppress the random noise spread on the infrared image.
为改善多基地雷达系统对高机动目标的跟踪性能，提出了基于自适应高斯模型和扩展卡尔曼滤波(ekf)的机动目标跟踪算法。
Maneuvering target tracking algorithm based on adaptive Gauss model and EKF was built for improving the tracking performance in Multi-static systems.
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.
针对实际采集的雷达回波信号，分析了自适应高斯频域滤波器的地物杂波抑制性能。
Using the actual collected radar echo signals, we analyze the ground clutter suppression performance of the adaptive Gaussian frequency filter.
采用维纳自适应滤波，抑制随机噪声和高斯噪声；
The proposed approach adopts adaptive filter to suppress random noise and Gauss's noise so as to enhance the SNR.
理论分析和实验结果表明，自适应指数滤波器的性能优于高斯滤波器。
The performance of this filter is compared with Gaussian filter theoretically and experimentally. It is shown that the performance of this filter is superior to Gaussian filter.
理论分析和实验结果表明，自适应指数滤波器的性能优于高斯滤波器。
The performance of this filter is compared with Gaussian filter theoretically and experimentally. It is shown that the performance of this filter is superior to Gaussian filter.
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