滤波方法

区域GPS网三种时空滤波方法的比较

Comparison among three spatiotemporal filtering methods for regional GPS Networks Analysis

基于卡尔曼滤波器的GPS动态滤波方法

A Kinematic Filtering Method of GPS Positioning Based on Kalman Filter

新型GPS动态定位自适应卡尔曼滤波方法

A new self-adaptive Kalman filtering method for GPS kinematic positioning

H∞融合滤波方法可以有效地解决此类多传感器融合系统的滤波问题，但存在求解困难问题。

H_ ∞ fusion-filtering can solve the problem but the solution is difficult to obtain .

GPS接收机抗干扰空时自适应滤波方法

Joint space-time adaptive filtering for GPS anti-jamming receiver

PLC输入信号的滤波方法

The Filter Method of PLC Input Signal

Kalman滤波方法在雷达视频脉冲信号分选中的分析与应用

Analysis and Application of Kalman Filtering Method in Radar Video Pulse Signal Sorting

基于时间序列分析的Kalman滤波方法在MEMS陀螺仪随机漂移误差补偿中的应用研究

Research on the Application of the Time-Serial Analysis Based Kalman Filter in MEMS Gyroscope Random Drift Compensation

非线性估计的Sigma点卡尔曼滤波方法

Sigma Point Kalman Filter for Non - linear Estimation

小波域Wiener滤波方法及其在功能磁共振成像中的应用

Application of Wiener filter based wavelet domain in functional magnetic resonance imaging

将基于Gabor展开的时频滤波方法引入多自由度线性时变结构模态参数辨识中，提取单模态响应分量。

Single modal response of time-variant multi-degree freedom system is extracted by Gabor expansion .

应用卡尔曼滤波方法，对采用GPS姿态测量信息对惯性导航系统的误差修正能力进行分析和仿真。

By adopting the Kalman filtering method , the capability of correcting the error of inertial navigation system using GPS attitude information is analyzed and simulated .

改进的Sage自适应滤波方法

The Improved Method of Sage Adaptive Filtering

基于ARIMA模型的光纤陀螺随机漂移滤波方法研究

Investigation on filter method of FOG drift data based on ARIMA model

基于EKF容错滤波方法的编队卫星相对轨道自主确定

Autonomous Determination of Relative Orbit for Satellite Formation Flying Using Fault Tolerant EKF

用Kaiser差分滤波方法识别柴油机燃烧始点的分析研究

Study on Identification of Combustion Timing of Diesel Engine with Kaiser Differentiator

本文对GPS的数据采用卡尔曼滤波方法处理，并将该方法应用于实际飞行对无线电罗盘、多普勒导航系统的定向、定位精度考核。

We treated the GPS data by Kalman filter to improve the position precision , and the result is adopted to deal with ADF and Doppler Navigation System precision estimating .

讨论了基于小波的阈值去噪方法和Wiener滤波方法在信号去噪中的应用。

The paper discussed the application of wavelet based thresholding denoising and Wiener filtering for removal of noise in signal .

应用Kalman滤波方法，在线性最小方差最优加权融合准则下，提出了最优加权融合降阶稳态广义Kalman估值器。

Using the Kalman filtering method , under the linear minimum variance optimal weighting fusion rules , the optimal weighted fusion reduced order steady-state descriptor Kalman estimators are presented .

介绍了目前国内外反演核事故源项所使用的各种方法及其理论背景，其中着重介绍了国际当前流行的Kalman滤波方法及对这些方法的有关研究成果和应用；

In this paper , the inversion methods applied to obtain the source characteristics are introduced , especially the Kalman filter method , together with related achievements and applications .

本文首次提出了基于固有模态函数（IMF）域滤波方法，该方法可以用于对带噪信号的边缘检测。

The intrinsic mode function ( IMF ) domain filtering method is proposed in this paper . This method is used to detect ed - ges of the noisy signal .

为了提高所得结果的可靠性，采用了线性-偏振滤波方法和修正的N次根倾斜叠加方法来提取PSV转换波。

In order to increase the reliability of results , the rectilinearity polarization filter analysis and modified N th root slant stack methods were used to pick out P SV converted phases .

针对X射线图像中随机噪声的特点，采用了一种基于形态学的图像滤波方法，有效地减少了噪声，提高了检测精度。

A new defects detection method is studied in this paper and the following research is mainly done : ( 1 ) Since much noise is contained in the X-Ray image , morphological filter is used to suppress the noise .

介绍了传感器检测信号的特点，分析了数字滤波器的设计，提出了FIR数字滤波方法并进行了实验。

This paper introduces the features that the sensor detects the signal , analyzes on the design of the digital filter , and advances the methods for FIR digital filter and carries out the experiment .

为了更有效地去除农产品图像中的噪声。受二维离散Wiener滤波器计算方法的启发，提出了一种基于小波变换的Wiener滤波方法。

In order to effectively denoise in the agricultural products image , enlightened from two-dimensional discrete Wiener Filter arithmetic , the authors put forward a wavelet transform-based Wiener Filtering method .

地球静止轨道预警卫星弹道重构是弹道导弹防御的一个重要环节，利用基于Stirling插值逼近的非线性KALMAN滤波方法，对凝视型弹道重构算法进行了研究。

Trajectory estimation by geostationary early warning satellite is important in ballistic missile defense . Staring trajectory estimation algorithm is discussed with the help of nonlinear KALMAN filter based on Stirling interpolate approximation .

用Kalman滤波方法，在三种不同的线性最小方差最优融合准则下分别提出两传感器按矩阵加权，按对角阵加权和按标量加权的信息融合稳态Kalman滤波器。

By the Kalman filtering method , under three different linear minimum variance optimal information fusion criterions , the two-sensor information fusion steady-state Kalman filters weighted by matrices , diagonal matrices , and scalars are presented , respectively .

在介绍线性内插、高斯内插、Cubicspline内插和低通滤波方法的基础上，重点对2-D和分离的2×1-D维纳内插滤波方法进行了介绍。

Following the introduction of linear interpolation , Gaussian interpolation , cubic spline interpolation and low pass filtering , emphasis is on the discussion of two-dimensional and separated two one-dimensional Wiener interpolation filter .

T-K域倾角切除的预测滤波方法

The predictive filtering with dip muting in T & K domain

应用Kalman滤波方法，对多传感器观测融合的两种加权观测融合算法，证明了同集中式观测融合算法相比，它们具有全局最优性和完全功能等价性。

For the two weighted measurement fusion algorithms of multisensor measurement fusion , using the Kalman method , it is proved that compared with the centralized measurement fusion algorithm , they have the global optimality and completely functional equivalence .