好用的基于PSO算法的微网容量优化配置程序

聚类分析里的k均值（kmeans）算法的matlab实现，是老师即将出的书里，我给写的例子，大家看看吧。 (Where k-means cluster analysis (kmeans) algorithm matlab implementation, a teacher is leaving the book, I give examples of writing, we take a look at bar.)

实习时候做的东西，一个matlabGUI程序，可以读取mat雷电流文件，并且进行指定长度，指定信号进行指定层数的小波分析，并提取其中的模值，最后可以进行各种重构画图，分析(Internship time to do things, a matlabGUI procedure, which can be read by mat lightning current document, and to carry out the designated length, designated signal designated floors of wavelet analysis, and extract one of the modulus value, the final drawing can be a variety of remodeling, analysis)

稀疏自适应匹配追踪算法，无需稀疏度，就可以重构原始信号。(Sparse adaptive matching pursuit algorithm, without sparsity, we can reconstruct the original signal.)

模糊粒子群算法 用于解决参数寻优和工程最优化问题 亲测程序可以完美运行 希望可以帮到你(Fuzzy particle swarm algorithm for solving the parameter optimization and engineering optimization problems pro-test program can run perfectly hope you can help)

插值与拟合，解方程，数据分析，多抽样率信号处理，最终的权值矩阵就是滤波器的系数。( Interpolation and fitting, solution of equations, data analysis, Multirate signal processing, The final weight matrix is ??the filter coefficient.)

基于matlab GUI界面设计,抑制载波型差分相位调制，阐述了负荷预测的应用研究,遗传算法无功优化，实现六自由度运动学逆解算法，已调制信号计算其普相关密度。

Matlab教学第一册 Matlab教学第一册(Matlab Matlab Teaching Teaching Volume Volume)

AM 调制的MATLAB算法实现 MATLAB文件(AM modulation MATLAB algorithm MATLAB documents)

通过MATLAB的SIMULINK模型设计，实现伪随机数的序列发生器，并通过DSP BUILDER中的SIGNAL COMPILER转换成QuartusII工程，并实现硬件的下载。(Through the MATLAB SIMULINK model design, realization of pseudo random sequence generator, and through the DSP BUILDER of SIGNAL COMPILER converted into QuartusII engineering, and realize the hardware of the download. )

用镜像矩阵求出矩阵的QR分解（正交三角分解），并求解线性方程组，该方法不必选主元，但其计算过程非常稳定。也可用于求矩阵的广义逆和求解线性最小二乘问题。子过程QRDCMP用镜像矩阵求m*n矩阵A的QR分解，A=Q^TR,其中Q是m*m正交矩阵，R为m*n上三角矩阵；子过程QRBKSB用矩阵的QR分解求解线性方程组Ax=b，其中A为n阶非奇异方阵。(Matrix obtained with the mirror matrix QR decomposition (orthogonal triangular decomposition), and solving linear equations, the method does not have to choose the main element, but its calculation process is very stable. Can also be used to find the generalized inverse matrix and solving linear least squares problems. Sub-process of the mirror matrix QRDCMP m* n matrix A QR decomposition, A = Q ^ TR, wherein Q is a m* m orthogonal matrix, R is m* n upper triangular matrix subprocess QRBKSB a QR decomposition to solve the matrix linear equations Ax = b, where A is non-singular square matrix of order n.)