Texture-feature-code-matlab

编写求取下述矩阵四叉树四进制M码和十进制码程序，并将运算结果返回。 1, 1, 1, 1, 2, 2, 3, 3, 1, 1, 1, 1, 2, 2, 3, 3, 1, 1, 1, 1, 4, 4, 5, 5, 1, 1, 1, 1, 4, 4, 5, 5, 6, 6, 7, 8,13,13,14,14, 6, 6, 9,10,13,13,14,14, 11,11,12,12,15,16,19,19, 11,11,12,12,17,18,19,19 (Prepared to strike the following matrix quadtree quaternary M code decimal code and procedures, and the operation result returned. 1, 1, 1, 1, 2, 2, 3, 3, 1, 1, 1, 1, 2, 2, 3, 3, 1, 1, 1, 1, 4, 4, 5, 5, 1, 1, 1, 1, 4, 4, 5, 5, 6, 6, 7, 8,13,13,14,14, 6, 6, 9,10,13,13,14,14, 11, 11, 12,12,15,16,19,19, 11,11,12,12,17,18,19,19)

大规模配电网118节点的潮流计算程序，辐射状网络，含原始数据。(Large-scale distribution network 118 nodes of the power flow calculation procedures, radial network, with the original data.)

矩阵,复数自定义数据类型的C++实现,矩阵求逆采用牛顿法,(The matrix, complex number custom data type C realization, the matrix inverse uses the Newton method,)

此程序用于计算矩形截面的弯矩曲率特性以及不同极限状态的识别(This program is used to calculate the moment curvature characteristic of the rectangular cross-section, and the identification of different limit state)

根据试试数据 对变压器技术参数进行校核 利用的是最小二乘曲线拟合的方法(According to the data to try check technical parameters of the transformer is the least squares curve fitting using the method)

计算磁铁在线圈经过时，感生电压和磁铁位置的关系，即电磁感应系数(when a magnet passes by a coil, to calculate the induced voltage)

说明：  数值分析 显示算法 非线弹性 滞回曲线(Numerical analysis showed that the algorithm the linear elastic hysteresis curve)

使用Matlab编程，对教材74页例3.3.1进行编程仿真。其中，正电压A的值、噪声方差值、每个码元周期内的采样点数N自行设定（可设置为可调的变量）。噪声值可使用Matlab中产生高斯随机数的函数来进行仿真。贝叶斯检测判决式中，先验概率P(H1)=P(H0)，判断错误的代价因子设为1，判断正确的代价因子设为0. 按照上述参数的设定进行仿真，实现对仿真数据的贝叶斯检测判决；循环生成仿真数据，并进行判决结果的统计，即记录判决正确的次数，估计正确判决的概率。(The use of Matlab programming, teaching materials 74 pages of 3.3.1 programming simulation. Among them, the value of positive voltage A, the variance of noise, the number of sampling points in each symbol cycle (N) can be set by itself (adjustable variable). Noise values can be simulated using the function of generating Gauss random numbers in Matlab. In the Bias detection decision, the prior probability P (H1) =P (H0), the factor of error judgment is set to 1, and the correct cost factor is set to 0. According to the simulation parameters and realize the judgment of Bayesian detection simulation data; generating cycle simulation data, statistics and decision, which records the correct number of judgment, the estimated probability of correct decision.)

this is an inverted matrix in labview

求解二阶变系数常微分方程,主要用于涡激振动中频率响应的计算(Solving second-order ordinary differential equations with variable coefficients)