ofdm_UWB

二维TE波圆柱FDTD的MATLAB仿真(Two dimensional TE wave cylindrical matlab simulation)

可以用于二维图像评估程序，若稍微加改进可以作为识别方法(Two-dimensional image can be used in the assessment process, if a little can add to improve the method as a means of identification)

matlap bwselect to select object from the image you want

程序实现了naive bayes classifier， 并附有对美国参议院根据投票情况来判断议员属于民主党还是共和党的例子。(Program achieved a naive bayes classifier, along with the U.S. Senate voting to determine under Democrat and Republican members belonging examples.)

％ 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)

Emotion finder matlab code and with some images works fine

对信号进行时域平均分析，提起周期性信号，常用于故障诊断(Time domain signal analysis)

VMD.分解程序-将序列分解为多个子序列，用于风速风功率等新能源预测(VMD. Decomposition Procedure - Used for Predictive Use.)

Differential Evolution (matlab)(Differential Evolution (Matlab))

This code is an implementation of SURF (Speeded Up Robust Features). SURF will detect landmark points in an image, and describe the points by a vector which is robust against (a little bit) rotation,scaling and noise. It can be used in the same way as SIFT (Scale-invariant feature transform) which is patented. Thus to align (register) two or more images based on corresponding points.