片状结构是一种典型的非高斯敝斑现象。
研究非高斯噪声中微弱瞬态信号的检测。
This paper deals with the detection of weak transient signal buried in non-Gaussian noise.
本文探讨了相加性非高斯信道的传信能力。
In this paper, the capacity of information transmission on additive non-Gaussian channels is discussed.
峭度是随机变量非高斯性的一个经典度量。
Kurtosis is a classical measure of non-Gaussianity of random variable.
本文旨在探讨非高斯链情形下肌肉的弹性。
The present paper is to discuss the elasticity of muscle in case of non-Gauss chains.
非高斯信号处理是信号处理的一个新领域。
Researching non Gaussian signal is a new field of signal processing.
本文研究非高斯有色噪声中的谐波恢复问题。
The problem of concern here is the harmonic retrieval in colored non Gaussian noise.
提出了混沌系统将非高斯信号转变为高斯过程的理论。
The theory that chaos system can change non-gauss noise to gauss process is presented.
由此可利用信号双谱，提取舰船辐射噪声信号的非高斯成份。
Therefore, bispectrum is used to extract the non gaussian ingredients from the noise signals of ships.
本文研究非高斯arma有色噪声中的正弦信号频率估计问题。
This paper discusses the problem of estimating the frequencies of sinusoidal signals in colored non-Gaussian ARMA noise.
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。
This step size has definite immunity to Gaussian noise or non-Gaussian noise and fast convergent speed.
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。
Particle filter is widely used because of its flexibility to deal with the nonlinear non-Gaussian systems.
针对波浪持续起伏较大的非高斯噪声，提出了一种目标轮廓提取的新方法。
To resolve the non-gauss noise problem such as wave fluctuating acutely at sea, a new algorithm for extracting object contour is presented.
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。
In this paper, the authors study the detection of signals in non-Gaussian noise, and employ a multilayer perceptron neural network as a detector.
在假设接收信号是高斯和非高斯的两种情况下进行分析，得到了同样的结论。
Analysis is performed both with and without the assumption that the received signal is Gaussion to obtain the same conclusion.
该文描述了基于贝叶斯推理的目标跟踪算法，可应用于非线性、非高斯系统中。
The paper introduces the target tracking algorithms based on Bayesian inference, which can be applied in the systems of nonlinearity and non-Gaussianity.
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。
In MMW radar tracking, the classical Kalman filter will degrade seriously when observation noise is non-Gaussian because of target glint.
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。
As the ideal mathematical model for non-Gaussian impulsive noise, a -stable distribution has been the focus of intensive research in signal processing fields.
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。
Triplet Markov random fields (TMF) model is suitable for dealing with multi-class segmentation of non-stationary, non-Gaussian SAR images.
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。
For the case that the measured data contain non-Gaussian latent variables, ICA is more efficient signal extracting algorithm than PCA.
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。
A new Gaussian particle filter (GPF) is discussed to solve estimation problems in nonlinear non-Gaussian systems.
本文利用双谱分析方法，提出用非高斯ar模型对雷达目标回波信号进行参数化双谱估计。
With bispectrum analysis, an ar model parametric bispectrum estimation is presented for radar target echoes.
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。
If the background noise is nonstationary and non-Gaussian, the effect of classic signal detection theory is not satisfying.
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。
The results indicate that larger SNR gain can be derived via tuning system parameters in non-Gaussian cases than that in the 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。
In this paper, research on particle filter algorithm for ballistic target tracking is carried on under the main background of nonlinearity, non-Gaussian noise.
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 the wind simulation of long-span spatial structure, both time and spatial correlation and local non-Gaussian characters should be considered.
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。
The particle filtering is a nonlinear filtering technology, which is suitable for the nonlinear system and non-Gaussian noise model.
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。
For the radiation noises from underwater targets apparently contain non-Gaussian ingredients, their non-Gaussion features were studied through high-order cumulants.
当高斯假设所引起的误差不能接受时，就必须考虑非高斯噪声模型，并设计更加合理的处理系统。
When the error involved by Gaussian assumption cannot be tolerated, more accurate noise models and reasonable processing systems have to be considered to avoid significant performance degradation.
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。
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.
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