Using an actual collected radar signal, we change the orders of the regression filter from first-order to tenth-order and obtain the corresponding ground clutter suppression ratios.
在基于一组实际采集的雷达信号的基础上，给出了回归滤波器的地物杂波抑制比随着滤波器阶数的变化情况。
Through the study of the computational complexity of regression filter, the orthogonal polynomials which make the regression filter has the minimum computational complexity are found.
通过对回归滤波器的计算复杂度的研究，寻找使回归滤波器计算量最小的正交多项式。
From the orthogonal polynomials fit, this dissertation gives the basic theory of the regression filter for ground clutter suppression and the filtering process using a regression filter.
从正交多项式的拟合出发，给出了回归滤波器抑制地物杂波的基本原理及其滤波实现过程。
Fixing the spectrum width of the weather echo signals, we change theirs mean Doppler frequency and filter them using regression filter. After filtering, we analyze the attenuation of them.
在天气回波信号谱宽固定的情况下，通过改变天气回波信号的平均多普勒频率，分析了回归滤波器对它的衰减情况。
We analyze the frequency response characteristics of the regression filter and compare the computational complexity of regression filter with that of fifth-order elliptic IIR ground clutter filter.
分析了回归滤波器频率响应特性，比较了回归滤波器与IIR椭圆地物杂波滤波器的计算复杂度。
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.
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。
Using the methods of time series spectral analysis and Kalman filter, this article discussed the additive problems of two stochastic processes, mainly Auto Regression Moving Average (ARMA) processes.
本文利用时间序列谱分析和卡尔曼滤波的方法讨论了两个随机过程，主要是自回归滑动平均(ARMA)过程，的叠加问题。
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.
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。
In the stage I, called as data preprocessing, the support vector machines for regression (SVMR) approach is used to filter out the outliers in the training data set.
第一阶段称为所谓的资料预先处理，即使用支援向量回归来找出训练资料集中的离异点并删除之。
According to the degraded image and the ideal subimage, a filter is designed by using multiple regression analysis and then applied to restore the whole image.
根据模糊图象和估计的理想图象，利用多元回归分析设计滤波器，最后将滤波器应用于整幅图象完成图象的复原。
A stable quantitative model is provided for a developed filter-based near infrared detection instrument by using a multiple linear regression algorithm to select the optimal quantitative wavelength.
在自主研发的滤光片型近红外检测仪上通过用多元线性回归算法选择最优定量波长，为仪器提供了稳健的定量模型。
A stable quantitative model is provided for a developed filter-based near infrared detection instrument by using a multiple linear regression algorithm to select the optimal quantitative wavelength.
在自主研发的滤光片型近红外检测仪上通过用多元线性回归算法选择最优定量波长，为仪器提供了稳健的定量模型。
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