filter

matlab编程时不采用工具箱内的内部函数specgram，按照计算过程直接编写仿真程序(matlab stft)

说明：  该程序给出了cohesive单元的刚度矩阵及其在有限元程序中的实现方法。(This program gives the stiffness matrix of the cohesive element and its realization method in the finite element program.)

电力系统稳定性-暂态稳定性Power system stability - transient stability(Power system stability- transient stability Power system stability- transient stability)

说明：  用matlab编写的传递矩阵法求主轴的临界转速(Using matlab to prepare for the transfer matrix method of the critical speed of the spindle)

发射线性调频信号，假定三个点目标，模拟信号碰到目标返回后的回波。(Transmit chirp signal, assuming three points target, the target return echo analog signal after the encounter.)

这里实现了基于四种SVM工具箱的分类与回归算法: 1、工具箱：LS_SVMlab Classification_LS_SVMlab.m - 多类分类 Regression_LS_SVMlab.m - 函数拟合 2、工具箱：OSU_SVM3.00 Classification_OSU_SVM.m - 多类分类 3、工具箱：stprtoolsvm Classification_stprtool.m - 多类分类 4、工具箱：SVM_SteveGunn Classification_SVM_SteveGunn.m - 二类分类 Regression_SVM_SteveGunn.m - 函数拟合 更详细的相关函数说明请通过help命令查看！(Here the realization of the four SVM toolbox based on the classification and regression algorithm: 1, Toolbox: LS_SVMlabClassification_LS_SVMlab.m- Multiclass Classification Regression_LS_SVMlab.m- function fitting 2, the toolbox: OSU_SVM3.00Classification_OSU_SVM.m- Multiclass Classification 3, Toolbox: stprtoolsvmClassification_stprtool.m- Multiclass Classification 4 toolbox: SVM_SteveGunnClassification_SVM_SteveGunn.m- II Category Regression_SVM_SteveGunn.m- function fitting a more detailed explanation of the correlation function through the help command to view!)

design and implementation of feedforward neural network with BP training algorithm.(include the GUI)

采用分层的前推回代法应用于n节点的电力系统，收敛速度快，准确度高，电力系统配电网潮流计算。(Layered forward and backward substitution method used in the power system of n nodes, the convergence speed, accuracy, power system with the power flow calculation.)

介绍了检验概率、虚警概率和信噪比之间的关系，并对其进行了仿真验证。(Inspection probability and false alarm probability are introduced and the relationship between the SNR, and the simulation verification.)

canny边缘检测算子,可以对灰度数字图象的弱边缘进行很好的检测(canny edge detection operator, Gray figures to be the weak image edge detection for good)