搜索资源列表
c-kalman
- c语言编写的卡尔曼滤波器(kalman)算法，可用于对信号进行滤波处理[C]-c languages Kalman filter (kalman) algorithm, can be used to signal filtering treatment [C]
Kalman
- Kalman算法示例，java实现通过Klman对GPS点进行过滤，实现平滑-Kalman algorithm example, trajectory filtering by Kalman filtering useing java
Kalman-1
- 行人步态算法代码，识别步态，输出行走轨迹(Pedestrian gait, pedestrian gait algorithm code, gait recognition, output walking trajectory)
kalman-1.3
- 卡尔曼滤波器算法的c++实现，可调用的库(the implement of kalman filter by c++)
Kalman_Filtering_策略
- 若干kalman滤波算法的研究和应用，包含一些有用的包，以及应用在金融市场上(A number of Kalman filtering algorithm research and application, including some useful packages, as well as applications in the financial market)
kalman filter
- kalman滤波的matlab算法， 结构简单(Kalman filtering algorithm,matlab code)
基于Kalman滤波的神经网络快速学习算法及应用
- 一篇关于kalman滤波器论文，非常值得学习(a paper about kalman algrithom)
kalman滤波
- 几种Kalman滤波算法的c语言实现，可以用与stm32等微处理器的定位算法(Several Kalman filtering algorithm C language, you can use and STM32 and other microprocessor positioning algorithm)
Kalman
- 针对影响目标跟踪性能的关键因素——机动目标模型及其状态转移方程，探讨了基于Singer统计模型的卡尔曼滤波算法实现。(Aiming at the key factor that affects the performance of target tracking maneuvering target model and its state transition equation, the Calman filtering algorithm based on Singer statistical
kalman积分
- 通过matlab软件编写的数值积分算法，积分采用kalman滤波算法实现(The numerical integration algorithm is written by MATLAB software, and the integral is realized by Kalman filter algorithm)
kalman filter
- 卡尔曼滤波(Kalman filtering)一种利用线性系统状态方程，通过系统输入输出观测数据，对系统状态进行最优估计的算法。由于观测数据中包括系统中的噪声和干扰的影响，所以最优估计也可看作是滤波过程。(Kalman filtering, Kalman filtering) a system of linear equation of state, through the system input and output data, the optimal estimation of the s
Kalman filter
- 卡尔曼滤波（Kalman filtering）一种利用线性系统状态方程，通过系统输入输出观测数据，对系统状态进行最优估计的算法。由于观测数据中包括系统中的噪声和干扰的影响，所以最优估计也可看作是滤波过程。 斯坦利·施密特(Stanley Schmidt)首次实现了卡尔曼滤波器。卡尔曼在NASA埃姆斯研究中心访问时，发现他的方法对于解决阿波罗计划的轨道预测很有用，后来阿波罗飞船的导航电脑使用了这种滤波器。 关于这种滤波器的论文由Swerling (1958), Kalman (1960)与 Ka
kalman
- 卡尔曼跟踪算法详细matlab程序~~~(Detailed matlab program for Calman tracking algorithm)
《kalman滤波理论及其在导航系统中的应用》
- 讲述了kalman滤波在导航中的应用，对卡尔曼滤波算法进行了详细的推导(The application of Kalman filtering in navigation is described, and the Calman filtering algorithm is derived in detail.)
kalman
- 基于卡尔曼滤波对现有采样数据进行滤波，有效降低观测值的误差。卡尔曼滤波是一种时域方法，它把状态空间的概念引入随机估计理论，用状态方程、观测方程和噪声激励递推估计测量噪声，便于实现实时应用。(The existing sampled data is filtered based on Kalman filter, which can effectively reduce the error of the observed value. Kalman filtering is a time doma
9轴融合算法mpu6050 hmc5883 kalmanfilter
- 卡尔曼滤波算法融合9轴传感器（MPU6050 + HMC5883 ） 的原始数据，给出准确的滚转、俯仰和偏航角度信息。(The Calman filtering algorithm combines the original data of 9 axis sensors (MPU6050 + HMC5883) and gives accurate information of roll, pitch and yaw angle.)
一种新型自适应卡尔曼滤波算法
- 自适应卡尔曼滤波,一种新型的自适应卡尔曼滤波，方法分析(AKEF,it is a new method of kalman filter.this profile introduces how it comes and how it works)
kalman
- 3轴、6轴、9轴陀螺仪传感器，差分精确算法，得出稳定准确的角度(3 - axis, 6 - axis, 9 - axis gyroscope sensors, differential precise algorithm, to get a stable and accurate angle)
最大熵滤波算法matlab仿真
- 包含基于Huber函数和最大相关熵的抗差滤波算法，以及与卡尔曼滤波算法的对比，用于GNSS导航定位粗差处理。同时主函数中包含混合高斯随机数生成方法。(The Huber function and maximum correntropy criterion based robust Kalman filter is included, which can be used for biases in measurements for GNSS positioning. The mixed Gauss
target_tracking_using_kalman
- 运用kalman算法进行物体追踪 内带测试说明(target tracking using kalman test information included)