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基于主分量分析的图像融合算法实现，matlab实现，直接输入两幅图像即可(PCA-based image fusion algorithm, matlab implementation, two images can be directly)

用fdatool设计一个50Hz陷波器，导出系数，编程，对原始信号signal.txt进行滤波。 本程序为Matlab程序。(50Hz with fdatool design a notch filter, export coefficient, programming, filtering the original signal signal.txt.)

简单潮流计算的小程序，相关的原始数据数据数据输入格式如下： B1是支路参数矩阵，第一列和第二列是节点编号。节点编号由小到大编写 对于含有变压器的支路，第一列为低压侧节点编号，第二列为高压侧节点 编号，将变压器的串联阻抗置于低压侧处理。 第三列为支路的串列阻抗参数。 第四列为支路的对地导纳参数。 第五烈为含变压器支路的变压器的变比 ( Simple little program flow calculation, the raw data of the data related to data entry format is as follows: B1 is the slip parameter matrix, the first column and second column is the node number. Node number from small to big with the transformer for the preparation of slip, the first as the low pressure side of the node number, the second as a high-pressure side of the node number, the series impedance of the transformer low voltage side of the deal placed. As the third branch of the serial impedance parameters. Fourth as a slip of the ground admittance parameters. Strong as with the fifth branch of the transformer transformer turns ratio )

说明：  卡尔曼滤波器的仿真模型图，非常好用，大家可以试一试(Simulation Model Chart of Kalman Filter)

add noise matlab code

数值分析算法-----功能:gauss-seidel迭代求解线性方程组的根 (Numerical analysis algorithms----- functions: gauss-seidel iterative root solving linear equations)

这部分包括KL变换、沃尔什-哈达玛变换、Hough变换等(This section includes the KL transform, Walsh- Hadamard transform, Hough transform, etc.)

说明：  Matlab仿真跳频通信的程序 有4个文件(Matlab simulation of frequency hopping communication procedures with 4 files)

MATLAB编写利用P-Q分解法的潮流计算程序，程序中利用基于稀疏技术的因子表法进行迭代求解，以降低存储量，提高运算速度。本程序只适用于简单系统，如IEEE5节点系统。对于复杂系统，由于PV节点电压越限等问题尚未考虑，得到的潮流结果可能有误！(MATLAB flow calculation program written using PQ decomposition method, program utilization based on sparse iterative solver technology factor table method to reduce the storage capacity, improve processing speed. This procedure applies only to simple systems, such as IEEE5 node system. For complex systems, PV node voltage due to the more limited issues not yet considered, the trend of the results obtained might be wrong!)

Perceptron matlab code