Gaussian probability
英
美 [ˈgaʊsiən ˌprɑːbəˈbɪləti]
【计】高期概率
双语例句
- To deal with the multiple pedestrians tracking problem in video surveillance, an algorithm based on Gaussian probability model was proposed.
针对视频监控中的多人跟踪问题，提出了一种基于高斯概率模型的算法。 - Multiple Pedestrians Tracking Based on Gaussian Probability Model
一种基于高斯概率模型的多人跟踪算法 - However, the digital random vibration control systems currently based on power spectrum fitting can only generate random vibration exciting signals with Gaussian probability distribution.
然而，目前基于功率谱均衡的数字式随机振动控制系统只能产生高斯分布的随机振动激励信号。 - Firstly, hidden Markov models ( HMM) and Gaussian mixture models ( GMM) based on probability statistical speaker models are discussed in detail.
首先，详细讨论了说话人确认中两种最常用到的基于概率统计的说话人模型：隐马尔柯夫模型（HMM）和高斯混合模型（GMM）。 - When training, estimate a Gaussian probability density function for pitch period of every person in the training library.
在训练时为训练集中的每个说话人估计一个一维高斯形式的基音周期概率密度函数； - With Gaussian mixture autoregressive model, the probability density and power spectrum density of non-Gaussian colored processes can be fit. Its parameters can be estimated through the LS-EM algorithm. Based on descriptions of the model and the estimation problem, the LS-EM algorithm is deduced.
混合高斯自回归模型对有色非高斯数据的概率密度和功率谱密度进行有效的拟合，而LS-EM算法则可解决这一模型的参数估计问题。 - The problem of estimating the difference in arrival time of a non Gaussian signal corrupted by Gaussian or symmetric probability density function noise is considered.
讨论了存在于相关高斯或对称分布噪声中的非高斯信号的时延估计问题。 - Multilayer perceptrons are used in this algorithm to model the nonlinear part of the separation structure. The algorithm switches between sub and super Gaussian probability models during learning according to a stability condition and operates in a block adaptive manner.
该算法用多层感知器对分离结构的非线性校正部分进行建模，迭代过程中根据一稳定性条件在分别适用于亚、超高斯信号的概率模型间进行切换并以块自适应方式工作。 - In signal processing applications, it is often required to compute the integral of the bivariate Gaussian probability density function ( pdf) over the four quadrants.
在信号处理的应用中，经常需要计算双变量高斯概率密度函数在四个象限上的积分值。 - The research results are as follows: The author models each pixel of the image with Gaussian Mixture Model ( GMM), to calculate the probability of background pixel in the current image so as to abstract foreground moving objects.
本文的研究成果如下：使用高斯混合模型（GMM）对图像的每个像素进行建模，来计算当前图像中属于背景像素的概率，从而提取出前景运动目标。 - Research on VFH Obstacle Avoidance Approach Based on Gaussian Probability Distribution Field
基于高斯概率分布场的VFH避障方法研究 - Gaussian probability iteration method instead of usually used CFAR detector or threshold segmentation is employed to identify the regions of interest.
在提取感兴趣区域时，该算法采用了高斯概率迭代方法代替了一般的CFAR检测或阈值分割； - A new method is developed for determining the characteristic values of the combined wave and wind loading. The aim is to evaluate the effect of the non Gaussian characteristic of the probability distributions and the correlation between wave height and wind speed on the values.
给出了确定波浪载荷及风载荷组合特征值的一种新方法，其目的就是要估计波高与风速的非高斯性及相关性对组合载荷特征值的影响。 - We utilized joint distribution of Gaussian prior probability to compensate noise and channel simultaneously, and the result was that the channel mismatch between training environment and testing environment decreased.
本文利用联合高斯先验概率分布对噪声和信道同时进行补偿，以减少训练环境和测试环境的信道不匹配。 - This paper also presents an independent distributed multi state Gaussian probability model ( IDMGPM) for recognition.
识别时，采用独立分布的多状态高斯概率模型，进行时间规整。 - The joint distribution of prior probability is estimated using the Expectation Maximization algorithm in detail. And we utilized joint distribution of Gaussian prior probability to compensate feature parameters. The parameter estimation formula of joint Gaussian Mixture Model was also derived.
在此基础上，引入倒谱的动态差分特征，采用期望最大化算法，估计先验概率的联合分布，利用联合高斯先验概率进行特征补偿，并推导了联合高斯混合模型的参数估计公式。 - Speech Separation Based on Gaussian Mixture Model Probability Density Function Estimation
基于高斯混合密度函数估计的语音分离 - Under the Gaussian hypothesis, probability density functions and numerical characters such as mean, variance and hybrid 2nd order moment of the instantaneous polarization projection vector ( IPPV) of TV-EMWs are studied in this paper.
在正态假设下，研究了时变电磁波瞬态极化投影矢量（IPPV）的概率分布和均值、方差、混合二阶矩等数字特征，得到了电磁波IPPV一些重要统计性质。 - In this paper, after comparing the curve fitting in the environment of the Poisson distribution with that of the Gaussian distribution from the method of maximum probability, a more accurate nonlinear fitting method in the case of the Poisson distribution is given.
本文从最大或然法出发，对两类不同概率分布情况下的曲线拟合进行了比较，给出了对泊松分布问题更严格的求解途径。 - This approach adopts Gaussian probability distribution field to improve information abstraction and utilization for the first layer, which provides reliable data source for the optimal selection in the following layers.
这种方法融入高斯概率分布场，进一步完善VFH算法在第一层对环境信息的提取和利用，为后几层的最优选择提供充分可靠的数据来源。 - Based on moment space theory and Gaussian approximation method, expressions of average error probability for system with multiple-access interference and white Gaussian noise environment are derived.
采用矩空间理论和高斯近似法分别得出该系统在多址干扰和白高斯噪声条件下的平均误码率表达式。 - By measuring the I~ V characteristics of local and whole tape, we get the Gaussian probability distribution of local critical currents by means of statistical method.
通过测量局部带材的临界电流I～V特性，得到了整根带材的临界电流特性；并通过统计方法，得到了局部带材临界电流分布的高斯几率分布函数。 - Computing the Bivariate Gaussian Probability Integral A Remark on C. F. Gauss
双变量高斯概率积分的计算 - Unlike Kalman filters, which are limited to Gaussian probability distributions, particle filters are able to represent multimodal distributions.
传统的卡尔曼滤波器，局限于高斯概率分布。而粒子过滤器可以描述多峰的复杂概率分布。 - Now the estimation of probability density algorithms are based on the Gaussian model, while the actual distribution of probability density may be random. The density that is solved by Support Vector Machine and tested is applied to the estimation of distribution algorithm.
然后针对现在的分布估计算法的概率密度大多是基于高斯模型，而实际应用中样本的概率密度可能是任意的情况，本文将支持向量机求解并仿真测试过的概率密度应用到分布估计算法中。 - For the relatively static characteristics of the background clutter, we establish the Gaussian probability distribution model.
针对背景杂波相对静止的特性，建立了高斯概率分布模型。 - In this paper, Gaussian probability density function was adopted as the pheromone model of the continuous optimization space, proposed the continuous ant colony optimization algorithm introduced memory table-TACO.
本文以高斯分布概率密度函数作为连续优化空间的信息素模型，提出一种引入记忆表丁的连续蚁群优化算法-TACO。 - And the probability density of relative position error between satellites is a three-dimensional Gaussian distribution. So the collision probability is the integration of the probability density function in the envelope ball.
因为卫星间的相对位置误差服从三维的正态分布，所以碰撞概率就是三维的概率密度函数在封闭球内的积分。 - Under the assumption of white Gaussian noise channel, the expressions of detection probability, alarm probability and average acquisition time were present. The performance of the improved method and the sliding correlator acquisition method is compared in the paper.
在高斯白噪声信道下，分别推导了检测概率、虚警概率和平均捕获时间的表达式，并将改进捕获方案和滑动相关捕获方法进行了比较。 - Gaussian Mixture Model ( GMM) is a probability statistical model, it can describe the speech data acoustic characteristic distribution very well, so in all sorts of speech recognition system it is widely used.
高斯混合模型（GMM）是一种概率统计模型，它可以很好地描述语音数据的声学特征分布，所以在语音识别系统中得到了广泛的应用。