work

清华大学张旭东老师现代信号处理第一次matlab习题(The first matlab exercise in modern signal processing by Xudong Zhang, Tsinghua univ.)

ekf与UKF算法的MATLAB源代码,其中的例子是以stewart六自由度并联机构展开的。(The matlab codes about extended kalman filter and unscented kalman filter， and the demo is about 6 degree of freedom stewart parallel manipulator)

说明：  四旋翼无人机是一种可以被遥控也可以在无人为控制的状态下执行预定任务的飞行器，与传统直升机相比四旋翼飞行器的机械结构简单，且具有高精度，灵活精度以及较低成本的特点，被广泛用于军事侦察，农艺播撒、快递派送、摄影工作等领域。四旋翼飞行器自身具有欠驱动、多变量、非线性等特性，在外界的噪声干扰情况下，增加了四旋翼无人机的不稳定以及控制系统的设计难度。所以对四旋翼飞行器的位姿控制的研究，可以开拓科研人员对控制算法以及滤波算法的认知，具有重要的研究意义。(Four-rotor UAV is a kind of aircraft that can be controlled remotely or perform scheduled tasks without human control. Compared with traditional helicopters, the Four-rotor UAV has simple mechanical structure, high precision, flexible precision and low cost. It is widely used in military reconnaissance, agricultural broadcast, express delivery, photography and other fields. Four-rotor UAV has the characteristics of under-actuation, multi-variable and non-linearity. Under the circumstance of external noise, the instability of Four-rotor UAV and the difficulty of control system design are increased. Therefore, the research on attitude control of Four-rotor aircraft can broaden the knowledge of control algorithm and filtering algorithm for researchers, and has important research significance.)

说明：  基于蒙特卡洛仿真的电动私家车负荷充电预测，考虑了三种不同的充电情景(Prediction of Private Car Load Charging Based on Monte Carlo Simulation)

和一般的学术论文上的仿真结果一样，是最新的matlab模块(And general academic papers on the simulation results, the new MATLAB module)

可以进行很多常见的平差测量计算 免去自己动手计算的麻烦(Adjustment can be many common measurement and calculation eliminates the trouble of calculating it yourself)

深度学习中自动编码器，对象为手写体识别应用，希望可以一同研究学习(Deep Learning AutoEncoder)

自动驾驶仪（autopilot），是按技术要求自动控制飞行器轨迹的调节设备，其作用主要是保持飞机姿态和辅助驾驶员操纵飞机。(Autopilot (autopilot), according to technical requirements automatically control the aircraft trajectory adjustment equipment, its role is to maintain the aircraft posture and auxiliary pilot aircraft.)

By evaluating its performance through computer simulations for various channels(it suitable for high-speed channel equalization.)

Regularization Tools version 4.0 for Matlab 7.3