Matlab-learning-material

空间插值方法汇总Inverse Distance to a Power（反距离加权插值法） Kriging（克里金插值法）Minimum Curvature（最小曲率）Modified Shepardd s Method（改进谢别德法）Natural Neighbor（自然邻点插值法）Nearest Neighbor（最近邻点插值法）Polynomial Regression（多元回归法）Radia (Spatial interpolation method summary Inverse Distance to a Power (inverse distance weighted interpolation) on Kriging (kriging) Minimum Curvature the (smallest curvature) Modified Shepardd s Method (improved Xiebie De law) Natural Neighbor (natural neighbor interpolation) Nearest Neighbor (nearest neighbor interpolation) Polynomial the Regression (multiple regression) Radia)

Finite Impluse Response

there is a main program with a lot o code for this site

给出了swerling2模型的仿真程序，积累的脉冲数为50.(Given swerling2 model simulation procedure, the accumulated pulse number is 50.)

说明：  书籍的matlab例程：通信系统与 MATLAB(Example: Communication System with MATLAB)

％ 该Matlab程序基于牛顿－拉夫逊算法，用于计算已知导纳矩阵、PQ节点、PV节点、平衡节点(UA)的电力网络潮流 ％ U - 各节点母线电压 S - 各节点注入功率 S_net - 电力网络总损耗 ％ PQ_P - 实算PQ节点注入有功功率 PQ_Q - 实算PQ节点注入无功功率 ％ delt_PQ_P - 实算PQ节点有功功率修正值 delt_PQ_Q －实算PQ节点无功功率修正值 ％ delt_UA_P - 实平衡节点有功功率修正值 delt_U_2 - 实平衡节点电压平方修正值 ％ delt_PQV - 实算P Q U^2修正值 J - 雅可比矩阵 ％ e - 电压实部 f - 电压虚部 delt_ef - 电压实部与虚部修正值( The Matlab program based on the Newton- Raphson algorithm is used to calculate the admittance matrix is known, PQ node, PV node, the node balance (UA) the trend of the electricity networks U- the node bus voltage S- each node injection power S_net-- The total loss of electric power networks PQ_P- operator PQ is injected into active nodes PQ_Q- operator PQ is injected reactive power node delt_PQ_P- is considered the correct value of active power PQ node delt_PQ_Q- really count PQ node reactive power to amend the value of delt_UA_P- real active power balance of the correct value of the node delt_U_2- node voltage balance is the correct value of the square of delt_PQV- really count PQU ^ 2 the correct value of J- Jacobian matrix e- voltage real part f- the imaginary part of voltage delt_ef- voltage real part and imaginary part of the amendment value)

This text provides an introduction to the numerical methods that are typically encountered (and used) in science and engineering undergraduate courses. The material is developed in tandem with MATLAB which allows rapid prototyping and testing of the methods. The package MATLAB (matrix laboratory) pro- vides an environment in which students can learn to programme and explore the structure of the numerical methods. The methods included here are of a basic nature and only rely on material which should have been explored prior to the fi rst year undergraduate stage.

用dwt函数实现了一层小波变换，并将各分量用图像显示了出来(Dwt function implementation with a layer of wavelet transform, and image display using the component out)

this fille contain matlabsource code

snake算法的matlab实现 可以实现，包含了掩饰用例(achieve snake by matlab)