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Kalman filtering method and its application to air pollution episode forecasting. Kalmanifilters are a class of linear minimum-error-variance sequential state estimation algorithms

机译：卡尔曼滤波方法及其在空气污染集预测中的应用。 Kalmanifilters是一类线性最小误差 - 方差顺序状态估计算法

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P Switzer; P Zannetti;
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年度 1979
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1. Nonlinear filtering for sequential spacecraft attitude estimation with real data: Cubature Kalman Filter, Unscented Kalman Filter and Extended Kalman Filter [J] . Garcia R. V., Pardal P. C. P. M., Kuga H. K., Advances in space research . 2019,第2期

机译：用于使用实际数据进行连续航天器姿态估计的非线性滤波：Cubature Kalman滤波，Unscented Kalman滤波和Extended Kalman滤波
2. Nonlinear filtering for sequential spacecraft attitude estimation with real data: Cubature Kalman Filter, Unscented Kalman Filter and Extended Kalman Filter [J] . Garcia R. V., Pardal P. C. P. M., Kuga H. K., Journal of neurosurgical sciences . 2019,第2期

机译：具有真实数据的连续航天器姿态估计的非线性滤波：Cubature Kalman滤波器，Unscented Kalman滤波器和扩展卡尔曼滤波器
3. New methods for the estimation of Takagi-Sugeno model based extended Kalman filter and its applications to optimal control for nonlinear systems [J] . Basil M. Al-Hadithi, Agustin Jimenez, Fernando Matia Optimal Control Applications and Methods . 2012,第5期

机译：基于Takagi-Sugeno模型的扩展卡尔曼滤波器估计的新方法及其在非线性系统最优控制中的应用
4. An efficient non-linear Kalman filtering algorithm using simultaneous perturbation and applications in traffic estimation and prediction [C] . Antoniou Constantinos, Koutsopoulos Haris N., Yannis George, IEEE Intelligent Transportation Systems Conference . 2007

机译：一种高效的非线性Kalman滤波算法，在流量估计和预测中使用同时扰动和应用
5. Sensitivity and stability analysis of nonlinear Kalman filters with application to aircraft attitude estimation. [D] . Rhudy, Matthew Brandon. 2013

机译：非线性卡尔曼滤波器的灵敏度和稳定性分析及其在飞机姿态估计中的应用。
6. Robust fundamental frequency estimation in sustained vowels: Detailed algorithmic comparisons and information fusion with adaptive Kalman filtering [O] . Athanasios Tsanas, Matías Zañartu, Max A. Little, -1

机译：持续元音中的稳健基频估计：详细的算法比较和自适应卡尔曼滤波的信息融合
7. A bilinear Kalman filter, a bilinear Kalman smoother, and a bilinear EM algorithm, with applications to Lotka-Volterra model. [O] . 100

机译：双线性卡尔曼滤波器，双线性卡尔曼平滑器和双线性Em算法，应用于Lotka-Volterra模型。

Kalman filtering method and its application to air pollution episode forecasting. Kalmanifilters are a class of linear minimum-error-variance sequential state estimation algorithms

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