This paper presents an interactive multiple model algorithm (IMM) utilizing adaptive turn rate models to track a maneuvering target.
给出了一种利用自适应转弯速率模型的IMM跟踪算法，可以用于机动目标的跟踪中。
The adaptive grid Interacting Multiple Model algorithm can adjust model parameter adaptively according to the target's mode, and thus realizes target tracking.
自适应网格交互多模算法能够根据目标的运动模式，自适应调整系统各模型参数，从而实现对目标的跟踪。
The basic idea of the variable-structure multiple model algorithm is expatiated. A variable-structure IMM algorithm for tracking a maneuvering target is studied and designed.
将当前统计模型和变结构多模型估计算法相结合，阐述了变结构多模型算法的基本思想，研究和设计了一种用于跟踪机动目标的变结构交互多模型算法。
An adaptive multiple model algorithm based on residual is presented, its basic idea is to assign the probability of each model in overall estimation through the size of residual.
提出了一种基于残差的自适应多模型算法，其基本思想是通过残差的大小来分配多模型中单个模型在整体估计中的权重。
In particular, I will introduce a local search algorithm for proximity query, a node weighting method for local clustering, and the network of networks model for integrating multiple networks.
特别的，我还将介绍本地搜索算法的接近查询，和一个局部聚类的节点加权方法，以及网络的网络模型集成多个网络。
In order to resolve the maneuvering problem in target tracking, an algorithm based on interacting multiple model (IMM) method was presented.
针对目标跟踪中的目标机动问题提出了一种“基于自适应相互作用多模型”的算法。
Aiming at the problem of measurement conversion within the target tracking, a new algorithm combined best linear unbiased estimation with interacting multiple model methods is derived.
针对机动目标跟踪中常见的量测转换问题，提出了一种基于球坐标系下最优线性无偏估计滤波的交互多模型算法。
The Interacting Multiple-Model (IMM) algorithm for passive localization of maneuvering emitter by mono-static is discussed in this paper.
探讨了一种利用单个观测站对机动辐射源目标进行无源定位与跟踪的交互式多模型（IMM）算法。
This paper proposes a new algorithm using hidden Markov model for information extraction based on multiple templates due to the variety of training data.
针对训练数据来源的多样化，提出了基于多模板隐马尔可夫模型的文本信息抽取算法。
In order to determine the model matching index of switching control, a multiple models switching control algorithm based on effective model matching was presented.
针对切换控制中模型匹配准则的确定问题，提出了一种基于模型有效匹配的多模型切换控制算法。
After expounding the modeling method of multiple linear regression based on least square algorithm, the thermal distortion model is modelled.
在介绍了基于最小二乘法的多元线性回归建模方法后，建模了机床的热变形实时预测模型。
A novel two-layer interactive multiple model (IMM) tracking algorithm for turn maneuver is proposed.
针对转弯机动目标跟踪，提出了一种两层交互多模型(IMM)跟踪算法。
An interacting multiple model (IMM) adaptive filtering algorithm based on expected system noise model was presented.
本文提出基于期望系统噪声模型的自适应交互式多模型(IMM)算法。
Focusing on the design of the model set for the interacting multiple model (IMM) algorithm, a model set design method is proposed.
针对交互式多模型(IMM)算法中模型集的设计问题，提出一种模型集设计方法。
In this paper, we propose an algorithm for constructing progressive meshes based on half-edge collapse and a method of multiple LOD model generation including subdivision algorithm.
提出了一种新的基于半边折叠的递进网格构造算法和一种引入了细分算法的多细节层次模型生成方法，并给出一组实例说明了算法的有效性。
A novel numerical model and an efficient algorithm are developed to calculate the powers of signal and noise light waves in multiple wavelengths bidirectionally pumping fiber Raman amplifiers.
通过合理分析提出了便于计算多波长双向抽运光纤拉曼放大器信号及噪声功率的实用数值模型，给出求解信号和噪声功率的快速算法。
A switching function with integral property and minimum variance algorithm are used to set up the multiple model adaptive controller.
采用了具有积分性质的切换指标函数作为切换法则和最小方差的控制方法构成了多模型自适应控制器。
This paper builds the multiple scattering model of imaging in fog and presents the algorithm of fog water content measure based on images blur degree.
该文通过建立雾中景物成像的多次散射模型，提出了利用图像模糊度测雾含水量算法，介绍了基于该算法下的全自动雾含水量测试系统的构成。
Abstract: An adaptive formation control algorithm was proposed for multiple autonomous underwater vehicle systems (MAUVS) based on the coupled phase oscillators model.
摘要：针对多水下机器人编队问题，提出一种基于相位耦合振子模型的自适应控制算法。
To solve the problem of false association in the presence of multiple targets, historical track data are utilized, and a limited memory association model with ISODATA algorithm is built.
构建了基于ISODATA算法的有限记忆关联模型，利用有限步的历史航迹状态数据，有效地解决了目标密集环境下的误关联问题。
The paper describes an Adaptive Interacting Multiple-model(AIMM) algorithm for use in manoeuvring target tracking.
本文介绍了用于机动目标跟踪的自适应混合多模算法。
In this paper, a dynamic transportation model with multiple criteria and multiple constraint levels (DMC2) is formulated. An algorithm is developed to solve such DMC2 transportation problems.
构造了多目标多约束水平(MC2)动态运输问题的数学模型，开发了求解这一模型的迭代算法。
A stable quantitative model is provided for a developed filter-based near infrared detection instrument by using a multiple linear regression algorithm to select the optimal quantitative wavelength.
在自主研发的滤光片型近红外检测仪上通过用多元线性回归算法选择最优定量波长，为仪器提供了稳健的定量模型。
The basic variations in Kalman filter architecture are discussed and the multiple model estimation algorithm is presented as well.
讨论了建立卡尔曼滤波器的基本变量，最后探讨了卡尔曼滤波的多模型估计算法。
A rolling multiple model weighted average estimation algorithm is presented for tracking the fast time varying model parameters.
为了跟踪快时变参数，提出了一种滚动多模型加权平均参数估计算法。
A rolling multiple model weighted average estimation algorithm is presented for tracking the fast time varying model parameters.
为了跟踪快时变参数，提出了一种滚动多模型加权平均参数估计算法。
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