最后为了降低曲线的统计噪声，给出了一种简单适用的自适应滤波技术。
A simple and effective adaptive filter is used to decrease statistic noise of the curve.
第二个是，这种通常的统计噪声来源于你试图估量一个巨大的数字就像通过两种方法得到的美国就业人数。
The second is that this is the usual statistical noise you get from trying to measure a huge number like the number of employed Americans through two different methods.
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.
测程法噪声统计特性的自适应估计问题是机器人定位研究的难点。
Adaptive estimation of the statistic character of odometric noises is a difficult problem for localization.
由于系统方程是时变的，在测量过程中，系统噪声和观测噪声的统计特性等很难精确地估计或测定，事实上很多误差模型都不能简单的设为白噪声。
Because the system equation is changed with time, during the measurement, the statistic character of the system noise and the observation noise cannot be estimated or be determined accurately.
它能够在线估计虚拟系统噪声的统计特性，从而消除了动态模型线性化误差带来的不良影响。
Owing to estimate the statistics of virtual noise on line, it overcomes the bad affect caused by linearization of nonlinear dynamic model.
为了有效复原退化图像，需要从模糊图像中估计模糊函数的某些参数、噪声统计量等相关信息。
In order to restore blur image effectively, certain parameter of blur function and statistical value of noise have to be estimated.
本文研究动态系统过程噪声对航迹统计距离和状态融合估计性能的影响。
This paper presents the effect of the common process noise on track statistical distance and performance of state estimation fusion.
本文在系统输入和输出噪声相关的条件下，提出一种新的噪声统计估值器和自适应状态滤波器，应用表明了它的有效性。
In this paper a kind of new estimators of noise statistics and adaptive filters of states are put forward in the case that input and output noises of systems are correlative.
与已有的融合方法相比，文章提出的神经数据融合方法具有非偏倚的统计特性而且不需要关于噪声协方差的任何先验知识。
Compared with the existing fusion method, the proposed neural data fusion method has an unbiased statistical property and does not require any prior knowledge about the noise covariance.
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.
在噪声统计未知或时变的情况下，每个位置采用自适应卡尔曼滤波解算出平台各轴的漂移角速率，并在此基础上辨识出漂移参数。
In case of the noise statistic being unknown or variable, adaptive Kalman filter is used to get drift speed of each axle at each test position, and then drift parameter is calculated.
常规卡尔曼滤波器有一大缺点，它要求精确的模型和噪声统计，但实际问题中，大多数情况上述要求不能满足。
The drawbacks of the traditional Kalman filter arise from its requirement of accurate model and noise statistics which generally can't be satisfied in engineering applications.
将未知噪声统计量的估计与信号状态估计交替进行的算法引入G P S定位，计算机模拟结果表明效果很好。
Estimation of unknown noise statistics quantity and estimation of signal states are alternatively done, this method is applied to GPS positioning, Computer simulation shows the approach is efficient.
详细研究了复噪声中正弦参数估计的统计性能，给出了模型中各参数估计的克拉美罗限；
The statistical capability of estimate of sinusoidal parameter in complex noise is researched in detail and the corresponding CRLB is given.
作者提出了用虚拟时变噪声统计，补偿线性化模型误差的新思想。
A new approach of compensating linearized model errors by the fictitious time-varying noise statistics is proposed.
特别可用于解决含有未知模型参数和噪声统计系统的自校正信息融合滤波问题。
Specially, they can be applied to solve the self-tuning information fusion filtering problems for systems with unknown model parameters and noise statistics.
提出了一种利用高阶统计量对强噪声背景下的弱信号进行检测的方法。
A method on weak signal detection in a stronger noise background based on high-order statistics is presented in this paper.
合成孔径雷达(SAR)图像相干斑噪声滤波技术分成三类：多视处理、统计滤波和变换域滤波。
Synthetic Aperture Radar (SAR) speckle filtering techniques can be classified into three categories: multi-look processing, statistical filtering and filtering in transform domain.
因此，利用简单混沌数学模型迭代产生的信号具有随机性，其统计特性类似白噪声。
So the signal generated by iteration of simple chaos mathematical model get the feature of randomness and owns the statistical characteristics similar to white noise.
在以常规卡尔曼滤波器为基础的各种跟踪算法中，要求精确的模型和噪声统计，但在实际问题中，大多数情况上述要求不能满足。
Accurate models and noise statistics are required in many tracking algorithms based on the traditional Kalman filter, which are difficult to be satisfied in engineering application.
该方法利用混沌序列具有容易生成、对初始条件敏感，以及具有白噪声的统计特性等特点。
This method makes use of good properties of chaotic sequences, such as ease of generation, sensitive dependence on their initial condition and noise like statistic characteristics.
混沌序列具有容易生成、对初始条件敏感以及具有白噪声的统计特性。
The chaotic sequence has easy to produce, is sensitive to the initial condition as well as has the statistical property of the white noise.
然后采用区域统计、参数识别、噪声区域去除以及聚类分析等手段进行目标特征识别，提取出棒材的质心点坐标作为特征；
Object centroid as the features was computed by means of regional statistics, parameter recognition, noise region removal and cluster analysis.
该算法将噪声的统计特性引入到投影迭代的限制条件之中，使得该推广的POCS算法具有很好的去噪声能力。
The generalized POCS algorithm introduces the statistics of the noise to the constraints of projection iteration so that the algorithm is able to eliminate the noise effectively.
它能够在线估计虚拟观测噪声的统计特性，从而克服了观测模型线性化误差带来的不良影响。
Owing to estimating the statistics of virtual noise on line, it overcomes the bad affect caused by linearization of nonlinear observation model.
该算法实现了横摆角速度的线性最小均方误差估计，且可对汽车行驶过程中的系统噪声和观测噪声统计特性进行在线估计。
This algorithm can realize linear minimum mean square error estimation of yaw rate, and on-line estimate statistical characteristic of system noise and observation noise during vehicle running.
研究了信号及杂波、噪声在信号处理之后的统计特性，并通过仿真系统产生了目标回波数据及检测背景噪声。
This paper also studies the statistics characteristic of signal, clutter and noise after the system disposal, and generates target data and detecting background noise using the simulated system.
研究了信号及杂波、噪声在信号处理之后的统计特性，并通过仿真系统产生了目标回波数据及检测背景噪声。
This paper also studies the statistics characteristic of signal, clutter and noise after the system disposal, and generates target data and detecting background noise using the simulated system.
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