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- What is followed is the introduction of two detecting algorithm based on the TBD, which is , multiple hypotheses testing (MHST) and Dynamic programming (DP) . 动态规划算法把最优化原理同弹道积分原理结合起来,将小目标检测问题转化成为在一系列轨迹中寻找灰度累加值最大的线路的问题。
- multiple hypothesis test 多重假设测验
- The F and LM statistics for multiple hypothesis are also invalid. 联合假设的F和LM统计量也不再正确。
- Multiple hypothesis testing 多重假设检验(MHT)
- A method of interval estimation and hypothesis test for continuous population percentiles and percentages is presented. 提出了一种对连续分布百分位值和百分率(或可靠度)进行区间估计和假设检验的理论与方法。
- In traditional multiple hypothesis tracking(MHT) algorithm,only target location information has been used for truth likelihood function of tracks. 在传统的多假设跟踪(MHT)算法中,航迹置信度函数仅利用了目标的位置信息。
- Since Wald(1947) proposed method of Sequential Probability Ratio Test (SPRT), SPRT has become an important tool for solving hypothesis test problems. 自Wald(1947) 提出序贯概率比检验(Sequential Probability Ratio Test;以下简称“SPRT”)方法以来;序贯方法逐渐成为解决假设检验问题的重要工具.
- In this paper,we review the developments of multiple hypothesis tracking(MHT)technique from the engineering point of view. 从工程应用的观点出发,对多假设跟踪技术进行综述。
- Involving effect of AGC (Automatic Gala Control), frame detection can be taken as a hypothesis test model with unknown parameters. 考虑到接收机自动增益控制(AGC)的影响;帧检测可以看作一个含未知参数的假设检验问题.
- Compared with the hypothesis test and other adjusting methods the advantages of this method are small estimated variance and simple calculation. 该方法与假设检验等其它方法相比,具有缩小估计方差和计算简便的优点。
- In this paper,this contradiction is analyzed through a practical example and the situation in which the hypothesis test exists is signified. 通过一个实例,分析了产生这种现象的原因,给出了假设检验有意义的条件;
- Hypothesis testing is one of the most important aspects in statistic infer-enc. 假设检验是统计推断的一个主要方面。
- As a result, an input-output PLSR model was established.Secondly, generalized likelihood ratio (GLR) test performed a hypothesis test for model residual so as to identify the system faults. 然后,将系统故障状态下的样本代入PLSR辨识模型,运用广义似然比(GLR)检验对模型残差进行假设检验,判断系统的故障状态。
- Abstract This paper extracted the futures of collected radiated noise of running vehicles by AR model firstly, then opted features by hypothesis test, and carried out classification by BP-NN. 摘要 本文首先利用AR参数模型提取采集到的车辆行驶时产生的车外噪声信号的特征,然后利用假设检验进行特征选择,并设计了BP神经网络进行分类识别。
- A multiple hypothesis localization (MHL) algorithm considers a number of hypotheses but converges slowly when there are non-unique features in the environment. 为了克服多假设定位算法在特征非唯一环境中假设数量大、收敛速度慢的问题,提出了利用负信息的改进算法。
- Methods On the basis of binormal model,maximum likelihood estimation was applied to areas calculation,and approximately normal method to confidence interval estimation and hypothesis test. 方法在双正态模型基础下应用ML估计方法计算ROC曲线下面积,正态近似法估计面积的可信区间及假设检验。
- multiple hypotheses testing 多元假设检验
- This paper extracted the futures of collected radiated noise of running vehicles by AR model firstly, then opted features by hypothesis test, and carried out classification by BP-NN. 摘要利用AR参数模型提取采集到的车辆行驶时产生的车外噪声信号的特征,利用假设检验进行特征选择,并设计了BP神经网络进行分类识别。
- multiple hypothesis localization 多假设定位
- Multiple Hypothesis Tracking(MHT) 多假设跟踪