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AnadaptiveKalmanfilterfordynamicharmonicstateestim
- Knowledge of the process noise covariance matrix is essential for the application of Kalman filtering. However, it is usually a difficult task to obtain an explicit expression of for large time varying systems. This paper looks at an adaptive
SubspacebasedblindadaptivemultiuserdetectionusingK
- A new blind adaptive multiuser detection scheme based on a hybrid of Kalman filter and subspace estimation is proposed. It is shown that the detector can be expressed as an anchored signal in the signal subspace and the coefficients can be estima
chuanyong_tuoluo_wuchamoxing
- 在对船用陀螺漂移数据建立时间序列模型的基础上，采用卡尔曼滤波算法对捷联陀螺漂移数 据进行了处理，以提高陀螺静态漂移误差系数的估计精度，并把得到的陀螺漂移误差模型实时补偿到捷联系统中，得到了满意的效果。-Marine gyro drift in the data time series model based on the Kalman filter algorithm using inertial gyro drift data were processed to enhance the g
5
- 基于MAP算法的图像超分辨率重构技术研究硕士论文，文中介绍了超分辨率重建的理论基础与数学模型，基于卡尔曼滤波的序列图像运动估计及基于MAP的超分辨率重建的具体过程。-Algorithm based on MAP Super-Resolution Reconstruction of Image Technology master' s thesis paper introduces the theory of super-resolution reconstruction of the fo
kal1
- estimation of a random constant using kalman filter
Basedonmaximuma
- 卡尔曼滤波是信号处理的重要工具，而极大似然估计是概率论的重要思想，两者结合会解决一系列类似的问题-Kalman filtering is an important tool for signal processing, while the maximum likelihood estimation is the important thinking of the probability theory, a combination of both will solve a series of si
Classification--Parameter-Estimation-and-State-Es
- classification and state estimation in kalman filter
vanderMerwe_GNC2004
- Sigma-Point Kalman Filters for Nonlinear Estimation and Sensor-Fusion - Applications to Integrated Navigation -
470
- This paper proposes an exact (Kalman-like) observer for the simultaneous state and parameter estimation in asynchronous motors - including speed and resistant torque estimation -, as well as a simulation study of its use under an estimate-based
Paper-1-Sebirien-2011
- Speed & Flux estimation by Extended Kalman Filter for Sensorless Direct Torque Control of Saturated Induction Machine
The Square-Root Unscented Kalman Filter For State And Parameter-Estimation
- The Square-Root Unscented Kalman Filter For State And Parameter-Estimation. The Square-Root Unscented Kalman Filter For State And Parameter-Estimation.rar
872661heat-transkalman
- 卡尔曼滤波从与被提取信号有关的量测量中通过算法估计出所需信号。卡尔曼滤波处理有几个特点：(1)卡尔曼滤波处理的对象是随机信号；(2)被处理信号无有用和干扰之分，滤波的目的是要估计出所有被处理信号；确切的说卡尔曼滤波应称作最优估计理论；就实现形式而言，卡尔曼滤波器实质上是一套由数字计算机实现的递推算法。量测量可看作卡尔曼滤波器的输入，估计值可看作输出-Kalman filtering from the measurement of the quantity relating to the sign
Kalman-filter-estimation--
- 通过测量非导通相的反电势波形，运用KALMAN滤波器，估计出转子的位置-By measuring the non-conduction phase of the BEMF waveform, using KALMAN filter, the estimated rotor position
Attitude-estimation-
- 研究GPS与INS数据融合编程卡尔曼滤波算法-Study of GPS and INS data fusion programming Kalman filter algorithm
data-fusion2
- 自校正加权观测融合KALMAN估计器及其应用方面的一篇硕士论文-Self-tuning weighted measurement fusion KALMAN ESTIMATION and its applications in a master' s thesis
A-Battery-State-of-Charge-Estimation-Method-with-
- extended kalman fitler
Colored-Noise-Kalman-Filter
- Colored-Noise Kalman Filter for Vibration Mitigation of Position Attitude Estimation Systems
estimation-extended-Kalman-filter
- 针对感应电机扩展卡尔曼滤波器转速估计中难以取得卡尔曼滤波器系统噪声矩阵和测量噪声矩阵最优值的问题，提出了一种基于改进粒子群算法优化的扩展卡尔曼滤波器转速估计方法。算法通过融合遗传算法和粒子群算法的优点，采用可调整的算法模型对粒子群算法进行改进，将改进的粒子群算法对扩展卡尔曼滤波器中的系统噪声矩阵和测量噪声矩阵进行优化处理，将优化后的卡尔曼滤波器应用于感应电机转速估计。- Extended K
kalman
- 这是一个关于扩展卡尔曼滤波器的源代码程序，解压后是文本格式的文件。-This is a program about battery SOC estimation with kalman filtering algorithm.
battery-SOC-estimation-based-on-EKF
- 基于扩张卡尔曼滤波的磷酸铁锂蓄电池SOC检测，给出了电池模型和算法实现过程。-The extended Kalman filter (EKF) method for SOC estimation has some problems such as the lack of an accurate model, and model errors due to the variation in the parameters of the model due to the nonlinear behav