Flake structure is a typical non-Gaussian phenomenon.
片状结构是一种典型的非高斯敝斑现象。
This paper deals with the detection of weak transient signal buried in non-Gaussian noise.
研究非高斯噪声中微弱瞬态信号的检测。
Autonomous celestial navigation system is a typical nonlinear, non-Gaussian dynamic system.
天文导航系统是典型的非线性和噪声非高斯分布的系统。
In this paper, the capacity of information transmission on additive non-Gaussian channels is discussed.
本文探讨了相加性非高斯信道的传信能力。
This step size has definite immunity to Gaussian noise or non-Gaussian noise and fast convergent speed.
该步长对高斯噪声或非高斯噪声均有一定免疫性，同时能快速收敛。
Particle filter is widely used because of its flexibility to deal with the nonlinear non-Gaussian systems.
粒子滤波方法由于能够灵活地处理非线性非高斯系统而被广泛地应用。
A new Gaussian particle filter (GPF) is discussed to solve estimation problems in nonlinear non-Gaussian systems.
为了解决非线性、非高斯系统估计问题，讨论了一种新的滤波方法——高斯粒子滤波算法。
This paper discusses the problem of estimating the frequencies of sinusoidal signals in colored non-Gaussian ARMA noise.
本文研究非高斯arma有色噪声中的正弦信号频率估计问题。
If the background noise is nonstationary and non-Gaussian, the effect of classic signal detection theory is not satisfying.
在非平稳非高斯背景噪声下，使用经典信号检测理论对信号进行检测往往难以达到理想的效果。
The Particle Filter can resolve a problem on nonlinear and non-Gaussian model, and has been applied successfully in many fields.
它可以处理模型方程为非线性、噪声分布为非高斯分布的问题，在许多领域得到了成功的应用。
Particle filter algorithm has shown its good performance in non-linear and non-Gaussian models and is paid more and more attention.
粒子滤波算法由于其在非线性、非高斯模型中所表现出的优良性能，使得其越来越受到人们的重视。
The particle filtering is a nonlinear filtering technology, which is suitable for the nonlinear system and non-Gaussian noise model.
粒子滤波技术是近几年出现的一种非线性滤波技术，它适用于非线性系统以及非高斯噪声模型。
For the case that the measured data contain non-Gaussian latent variables, ICA is more efficient signal extracting algorithm than PCA.
在测量数据含有非高斯潜隐变量的情况下，ICA是比PC A更有效的特征提取算法。
In MMW radar tracking, the classical Kalman filter will degrade seriously when observation noise is non-Gaussian because of target glint.
在毫米波雷达目标跟踪中，角闪烁的非高斯特性将使得经典的卡尔曼滤波器失效。
But the actual signals which we get in practise usually are non-stationary and non-Gaussian distribution, specially when the fault occurs.
而实际测得的信号大量是非平稳和非高斯分布的信号，尤其是在发生故障时更是如此。
Triplet Markov random fields (TMF) model is suitable for dealing with multi-class segmentation of non-stationary, non-Gaussian SAR images.
三重马尔科夫随机场(TMF)模型非常适合处理非平稳、非高斯图像的分割问题。
The results indicate that larger SNR gain can be derived via tuning system parameters in non-Gaussian cases than that in the Gaussian noise.
结果表明在非高斯噪声情况下，通过调节参数可以得到比在高斯噪声情况下更好的信噪比增益。
In the wind simulation of long-span spatial structure, both time and spatial correlation and local non-Gaussian characters should be considered.
大跨空间结构的风速模拟需要考虑风的时间和空间相关特性以及局部区域内风载的非高斯特性。
In moving base transfer alignment under nonlinear and non-Gaussian situation, using Kalman Filtering could cause large error or even divergence.
在非线性、非高斯条件下进行动基座传递对准，如果采用卡尔曼滤波会出现误差较大甚至发散的问题。
In this paper, the authors study the detection of signals in non-Gaussian noise, and employ a multilayer perceptron neural network as a detector.
本文研究了非高斯噪声中信号的检测，采用多层感知器神经网络作为检测器。
As the ideal mathematical model for non-Gaussian impulsive noise, a -stable distribution has been the focus of intensive research in signal processing fields.
稳定分布作为非高斯脉冲噪声的数学模型，已经成为信号处理领域的热点研究课题。
In Monte Carlo simulation such as the measurement uncertainty evaluation, it is often necessary to generate correlated multi-non-Gaussian random observations.
在用蒙特卡罗法进行仿真研究(例如进行测量不确定度评定)时，常常需要发生多个非高斯型互相关的随机数。
Comparison shows that the proposed method can estimate extreme values of non-Gaussian wind pressure more accurately than other methods used widely at present.
与常用的极值估算方法相比，该方法更能准确估计非高斯风压的极值。
In this paper, research on particle filter algorithm for ballistic target tracking is carried on under the main background of nonlinearity, non-Gaussian noise.
本论文以非线性、非高斯噪声环境下的目标跟踪为主要背景，研究弹道导弹目标粒子滤波算法。
One of the primary applications of higher order statistics has been for the time delay estimation of non-Gaussian signal in Gaussian spatially correlated noise.
高阶统计量在信号处理中成功的应用例子之一是估计高斯相关噪声中非高斯信号的时延参数。
A new hybrid approach to solve the time delay estimation of Gaussian signal in the presence of unknown non-Gaussian spatially correlated noise has been proposed.
介绍了高阶统计量与互相关运算相混合的方法，在对非高斯相关噪声中，高斯信号进行时延估计中的应用。
For the radiation noises from underwater targets apparently contain non-Gaussian ingredients, their non-Gaussion features were studied through high-order cumulants.
以大量的水下目标辐射噪声资料为依托，借助高阶累积量分析法，研究了目标信号的非高斯特性。
In the dissertation, it puts wavelet-packet decomposition into the study on non-gaussian noise. It offers a new signal dection method under non-gaussian noise backgroud.
本文将小波包变换用于非高斯噪声统计特性的研究，提出一种新的非高斯分布噪声下的信号检测算法。
Based on them, it brings up the improved empirical iterated method like neural networks, which can be applied in relevant non-Gaussian clutter in radar simulation system.
在此基础上，提出了将一种改进的类似神经网络机制的经验迭代方法应用到相关非高斯雷达杂波的仿真系统中。
Fractional lower order moment (FLOM) which also is called as fractional lower order statistics (FLOS) is one forceful tool of non-Gaussian signal analysis and processing.
分数低阶矩(FLOM)或分数低阶统计量(FLOS)是另一种非高斯信号分析处理的有力工具。
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