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The Kalman filter is an efficient recursive filter that estimates the state of a linear dynamic system from a series of noisy measurements. It is used in a wide range of engineering applications from radar to computer vision, and is an important topic in control theory and control systems engineering. Together with the linear-quadratic regulator (LQR), the Kalman filter solves the linear-quadratic-Gaussian control problem (LQG). The Kalman filter, the linear-quadratic regulator and the linear-quadratic-Gaussian controller are solutions to what probably are the most fundamental problems in control theory.

sc-fdma系统的2X1mimo采用STBC编码方式高斯白噪声 (sc-fdma system with STBC encoding 2X1mimo white Gaussian noise)

inverted pendulum dynamic modeling

说明：  基于正反馈频率漂移的光伏并网逆变器反孤岛控制。一个比较好的参考资料(Based on positive feedback frequency drift of photovoltaic grid inverter control against the island. A better reference material )

用matlab实现非相干信号music算法的DOA估计(Using matlab to achieve non-coherent signal music algorithm for DOA estimation)

说明：  基于模型预测控制算法研究自动驾驶车辆轨迹跟踪(Trajectory tracking of autonomous vehicle based on model predictive control algorithm)

Matlab code for segmentation

用matlab做的一个模拟小球碰撞的实验，用于示范动量守恒(Use matlab to do a simulation of small-ball collision experiments for demonstration of conservation of momentum)

小波包分析提取振动信号中的特征频率，利用自然梯度算法，有详细的注释。( Wavelet packet analysis to extract vibration signal characteristic frequency, Use of natural gradient algorithm, There are detailed notes.)

说明：  采用聚类的方法对路标进行提取，效果不错。(The method of clustering is used to extract road signs, and the effect is good.)