Lyapunov

矩阵与线性代数方程组中 线性方程的数值解 矩阵分解 矩阵求逆 (Matrices and linear algebraic equations in the numerical solution of linear equations matrix inverse matrix decomposition)

无刷直流电机转速电流双闭环仿真。逆变器、电机模型都是自建的，仿真精度较高。输出相电流为标准的方形波(The model is a speed-current dual-loop based simulation of BLDC. The inverter and the motor model are all built myself with high simulation accuracy. The output phase current of the motor is a standard square wave.)

用于将中央气象台的T639数据转换为Matlab格式的数据(transform the data from National Meteorological Center of CMA to matlab format)

fir滤波器，7、8、13、14，对信号进行alpha、betagamma滤波，调用方法 Hd = fir_alpha 滤波后信号 = filter(Hd,原信号) 得到的信号是时域信号，plot直接显示(Fir filter, 7, 8, 13, 14, alpha filter for signal method is called Hd = fir_alpha After filtering signal = filter (Hd, the original signal) Signal is time domain signals, the plot showed directly)

计算标准大气特性的matlab代码，基于美国1976年的测试数据(source code in matlab for computing atmospheric characterics, based on the Data obtained in 1976 )

direck算法用matlab的M语言实现，该算法可以有效解决数值寻优，且实时性好，寻优收敛速度快，相比遗传算法，寻优更准确(direck algorithm matlab the M language, the algorithm can effectively solve numerical optimization, and real-time, optimizing the convergence speed, compared with the genetic algorithm optimization is more accurate)

针对非圆信号DOA估计问题,提出了一种基于实值特征值分解 (Eigenvalue decomposition,EVD)的求根MUSIC算法.首先利用非圆信号为实值信号的特点,将阵列上的接收数据及其共轭用欧拉公式转换为实值正弦与 余弦数据,然后将正弦与余弦数据进行串联,从而扩展了数据维数.由于采用实值矩阵的EVD,因此在EVD阶段的运算量简化为复值EVD的1/4.根据 EVD后获得的信号与噪声子空间的特点,对噪声子空间和导向矩阵进行重构以便于可以使用求根MUSIC算法获取对DOA的估计.仿真实验验证了本文算法的 有效性(For the estimation of noncircular signals of DOA, proposes a decomposition value based on real valued features (Eigenvalue decomposition, EVD) the root MUSIC algorithm. Firstly, characteristics of non circular signals for real valued signals, the array data and its conjugate with the Euler formula into real value of sine and cosine and sine and cosine data. The data series, thus expanding the dimension of the data. Because of the use of real valued matrix computation in EVD, so the EVD stage was simplified as a complex valued EVD 1/4. according to the characteristics of signal and noise subspace is obtained after EVD, the noise subspace and orientation matrix reconstruction in order to facilitate the use of DOA can obtain the estimated root MUSIC the algorithm. The simulation results verify the effectiveness of the proposed algorithm)

用形态学中骨骼化方法实现了图像细化，为后续工作如特征点提取提供了良好的素材(Method with skeletal morphology achieved thinning, for the follow-up, such as feature extraction provides a good material)

Image Enhancement 图像扩展，提高 基于matlab环境(Image Enhancement Image expansion, improve the environment based on matlab)

matlab知识聚集，方便快捷的学习知识，一款非常实用的软件(Matlab knowledge aggregation, convenient and quick learning knowledge, a very practical software)