dingxun3

Another inverse kinematic of two link manipulator, robots.

用Matlab实现对惯性导航系统（陀螺仪和加速度计）的误差分析。(Matlab to inertial navigation system (gyroscopes and accelerometers) error analysis. )

利用A星算法进行二维路径规划，用MATLAB软件进行仿真(Two-dimensional path planning using A-star algorithm and simulation using MATLAB software)

vc与matlab7的混编，采用的混编方式是通过shared(vc matlab7 with the mixing of the way through the air shared)

用Matlab实现GM（1,1）模型进行拟合和预测(application of GM(1,1) model to analise on matlab)

Teager能量算子，一种非线性算子，增强冲击成分分量(Teager energy operator，a nonliner operator ,it can enhance the impact component)

Mysmo.mdl 永磁同步电机的主程序，可以实现有速度传感器启动运行，和无速度传感器运行。 SMOmodel.m 改进的滑模观测器模型，实现永磁同步电机反电动势的估算。 PFCDCM0hm5 用的是0.5hm的电感，实现220V交流电变换成400V的直流电，电流断续。 由于是仿真，如果要硬件实现的话，除了需要电压采样外，还需要一个输入电压过零检测 PFCCM320percent98k50 用的是5hm的电感，实现220V交流电变换成320V的直流电，电流连续。功率因数可以达到0.98，用的开关频率为50K PFCCM400percent97k50.mdl 用的是5hm的电感，实现220V交流电变换成400V的直流电，电流连续。功率因数可以达到0.97，用的开关频率为50K (Permanent magnet synchronous motor Mysmo.mdl main program, you can achieve the speed sensor up and running, and speed sensors run. SMOmodel.m improved sliding mode observer model permanent magnet synchronous motor back-EMF estimates. PFCDCM0hm5 with is 0.5hm inductor to achieve 220V AC transform into a 400V DC current is interrupted. As the simulation, hardware implementation, then, in addition to the voltage sampling an input voltage over zero detection PFCCM320percent98k50 the is 5hm inductance to achieve transformation 220V AC 320V DC continuous current. The power factor can reach 0.98, the switching frequency for 50K PFCCM400percent97k50.mdl with is 5hm inductance 220V AC transform 400V DC continuous current. The power factor can reach 0.97, with the switching frequency is 50K)

RESEARCH PAPER PUBLISHED IN NCITCSE 2015

最小均方（LMS）自适应算法就是一中已期望响应和滤波输出信号之间误差的均方值最小为准的，依据输入信号在迭代过程中估计梯度矢量，并更新权系数以达到最优的自适应迭代算法。LMS算法是一种梯度最速下降方法，其显著的特点是它的简单性。这算法不需要计算相应的相关函数，也不需要进行矩阵运算。(Minimum mean-square (LMS) adaptive algorithm is that one has to respond to the expectations and filtering the output signal of the mean square error between the value of the minimum-based, based on the input signal is estimated in the iterative process of gradient vector, and to update the weights in order to achieve the most Adaptive iterative algorithm gifted. LMS algorithm is a steepest descent gradient method, and its significant features is its simplicity. This algorithm does not require calculation of the corresponding correlation function, nor the need for matrix calculation.)

Walsh函数产生，此程序会产生一个Walsh函数序列(Walsh function)