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RLSAdptiveFilter
- 采用递归的最小二乘算法的自适应滤波器，比LMS算法具有较好的收敛特性和跟踪性能。-Using the recursive least squares algorithm for adaptive filter, LMS algorithm has better than the convergence characteristics and tracking performance.
KalmanAdptiveFilter
- 卡尔曼滤波器是用前一个估计值和最近一个观察数据估计信号的值，他是用状态方程和递推的方法进行估计，本例用来追踪一个5阶的FIR不确定的滤波器系数。-Kalman filter is to use the previous estimate and the most recent observation data to estimate the value of the signal, he is using the state equation and recursive estimation m
tailrecursiveQuicksort
- quicksort with tail recursive
dynamic-matrix-control-algorithm
- 动态矩阵控制算法，以递推辨识参数作为预测模型参数，递推辨识参数作为被控对象参数-Dynamic matrix control algorithm to recursive identification parameters as the predictive model parameters, recursive identification parameters as the controlled object parameter
quaternclose
- 两个轨道计算的子程序，四元素乘积计算法和空间轨道动力学方程递推的扩展卡尔曼滤波算法。-Calculation subroutine two tracks, the four elements of the product of calculation and orbital dynamics space equation recursive extended Kalman filter algorithm.
kalman
- 卡尔曼滤波器是一个“optimal recursive data processing algorithm（最优化自回归数据处理算法）”。-optimal recursive data processing algorithm
System-Identification
- 辨识升力系数以及阻力系数，运用递推最小二乘法及遗忘因子法最小二乘法进行系统辨识-Identify the lift coefficient and the drag coefficient, and use the recursive least squares method and the forgetting factor method least squares method to identify the system