OFDM_BPSK

％ 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)

这是关于卡尔曼滤波算法的matlab程序(This is on the Kalman filter algorithm matlab program)

hmm speaker recognizer

matlab lms 算法实例利用MATLAB实现了小波变换LMS滤波算法(matlab lms algorithm instance wavelet transform LMS filtering algorithm using MATLAB)

msk的调制解调MATLAB源代码，很不错，值得看看(msk modulation and demodulation MATLAB source code, very good, worth a look)

以图形显示聚类算法DBSCAN结果的MATLAB完整源代码(display the result of the DBSCAN Algorithm in matlab)

一个关于金属细导线的matlab程序。程序计算了偶极子的远场，方向图，增益等参量(A thin metal wire on the matlab program. Are calculated dipole far-field, pattern, gain and other parameters)

计算任意层数平板波导结构。其中slabexec为主程序，readme中有程序使用的详细说明。可以计算任意层数的平板波导结构的有效折射率，光场分布和远场分布(PhotonicCrystals )

迭代法（单点迭代法）Matlab编程实现(terative method (single iteration) Matlab Programming )

包含各种常见的MATLAB程序，如图像去噪、图像识别、RBF神经网络的训练，三次样条插值、求解线性方程组等几十个程序。(MATLAB contains a variety of common procedures, such as image denoising, image recognition, training RBF neural networks, cubic spline interpolation, linear equations, such as dozens program)