您要查找的是不是：
- A time domain recursive low pass filtering algorithm based on Kalman filtering theo-ry is analyzed. 分析了一种基于卡尔曼滤波理论的时域递归低通滤波算法。
- This document is introduced the kalman filtering algorithm, the entire design process and the mentality are defined, but also has the example, rare! 该文件是介绍卡尔曼滤波算法的,整个设计过程和思路明晰,还有例子,不可多得!
- The experiment and simulation analysis reveal that the IMM algorithm compares favorably to the kalman filtering algorithm in convergence performance. 实验结果和仿真分析表明IMM算法在收敛性能上有较大改善,综合性能最优。
- The unsatisfactory results were obtained by using simulation pure spectrum Kalman filtering algorithm and CPA-P matrix algorithm because of poor additivity for the system. 由于体系的加和性较差，故用模拟纯谱卡尔曼滤波法和CPA－P矩阵法计算均不能取得满意的结果。
- To investigate the problem of tracking a high accelerating maneuvering target with netted radar system, the parallel extended Kalman filtering algorithm is derived. 摘要针对多基地雷达系统跟踪近距离高加速机动目标的场合，提出了一种并行扩展卡尔曼滤波算法。
- At the same time the adaptive Kalman filter algorithm is introduced to process the initial locating results. 同时引入自适应卡尔曼滤波算法对原始定位结果进行了处理。
- It gives a new method for the quantitative analysis of multicomponent amino acids.Comparison with the method of Kalman filter algorithm is also given. 并与卡尔曼滤波方法进行了比较,表明神经网络在一些方面优于卡尔曼滤波方法。
- Then we studied the tracking problem of multiple maneuvering targets by using the combination of interacting multi-model and unscented Kalman filter algorithm. 在此基础上,采用交互式多模型算法和无味卡尔曼滤波相结合的方法研究了多机动目标的跟踪问题。
- The Kalman filter algorithm is derived step by step to obtain the unbiased estimates without making a prori assumption over the distribution of process and measurement noise. 卡曼滤波器演算法无需假设处理误差与量测误差的机率分布，而由逐次输入的量测值得到一无偏差之土壤溼度估计值。
- A fast kalman filtering algorithm based on range sum measurement with a multi-sensor system is presented for precisely locating a target and measuring its velocity by preprocessing measurement data. 摘要对仅有“距离和”测量信息的多传感器系统提出了一种对量测方程预处理的快速卡尔曼跟踪算法。
- Based on the analogy between structural mechanics and Kalman filtering, a new extended Kalman-Bucy filtering algorithm was presented to identify parameters of continuous time systems. 根据结构力学与卡尔曼滤波相模拟的理论,构造了一种新的用于连续系统参数识别的广义卡尔曼-布西滤波计算格式。
- In order to compare and analyse the performance of anti-jamming of Fourier algorithm, recursive least square algorithm, and Kalman filter algorithm, a lot of simulation calculations are carried out under the condition of burr or un-integrate wave. 在毛刺干扰和波形失真的情况下,对傅里叶、最小二乘、卡尔曼滤波算法的安全性与可靠性进行了比较分析。
- Generally speaking, Kalman filter algorithm is relatively convenient to be used because of its less dependence on parameter initial value, especially for the unobservable variables. 两种方法中，卡尔曼滤波方法由于对参数初值的依赖性较小，相对较为方便，尤其对于存在不可观测的参数时，具有较大的优越性。
- adaptive Kalman filtering algorithm 自适应卡尔曼滤波算法
- Extended Kalman filter algorithm 扩展卡尔曼滤波算法
- Adaptive Kalman Filter Algorithm 自适应卡尔曼滤波算法
- An Azimuth Tracking Approach Based on Extended Kalman Filtering Algorithm 一种基于扩展卡尔曼滤波的方位跟踪算法
- Application of Kalman Filtering Algorithm in Estimation of Optimal Burst Angle 卡尔曼滤波算法在最佳起爆角估计中的应用
- Study of the Dynamic GPS Kalman Filtering Algorithm Assisted by Neural Network 神经网络辅助动态GPS卡尔曼滤波算法研究
