LDA

1)编写DFT子函数（计算并画出幅频特性），以后可调用。 2）N=32，M=32，128，256时，分析频率分辨率、频谱的光滑程度。 3）N=64，256，512时，分析频率分辨率和频谱的光滑程度。 (1) the preparation of DFT Functions (calculated and drawn amplitude-frequency characteristics), the future can be called. 2) N = 32, M = 32,128,256, the analysis of the frequency resolution, the degree of smooth spectrum. 3) N = 64,256,512, the analysis of the frequency spectrum resolution and the degree of smoothness.)

synopsis on speaker recognition

关于距离走动和距离走动校正的仿真程序，思路清晰，很有条理，赶紧下载吧。(About distance walking distance around and calibration of the simulation program ideas clearly, very organized, hurriedly download it )

用matlab求电力系统导纳矩阵，可用于计算短路电流或潮流计算(Power system admittance matrix using matlab and can be used to calculate the short-circuit current or power flow calculation)

基于粒子群算法的电力系统负荷分配问题（1）数学模型： 以IEEE 3机6节点为工况模型 ，Load=850MW （2）目标函数： minF=∑(i=1，Ng)Fi(PGi)，Fi(PGi) =aiPi2+biPi+ci+Ei，考虑阀点(Valve-Point)效应 （3）约束条件： a.发电机组输出功率上下限约束，即PGi min<=PGi<= PGimax； b.电力负荷平衡约束，忽略网损，即∑(i=1，Ng)（PGi）= PGD(Based on particle swarm optimization of power system load allocation problem)

说明：  matlab混合编程系列：matlab与bcb混合编程——使用MATCOM(Matlab mixed programming Series: matlab and bcb mixed programming-using MATCOM)

改程序为切比雪夫拓扑结构的直线阵的matlab代码(Reform program for the Chebyshev linear array topology matlab code)

在MATLAB环境下产生一个二进制，在MATLAB环境下产生一个二进制，(In the MATLAB environment to produce a binary, in the MATLAB environment to produce a binary,)

使用Matlab AR模型的LPC函数来做特征值提取。传统方法中LPC一般用来做语音处理。这里每100个数据来做LPC，用获得的N阶参数来作为振动信号的特征值。这样10000个样本可以获得100个特征值样本集。用这些样本集可以做神经网络分类(Matlab AR model LPC function to do eigenvalue extraction. Conventional method LPC generally used for voice processing. Do LPC, where each of 100 data is obtained N-order parameter as the characteristic values ​ ​ of the vibration signal. So 10000 samples can be obtained the 100 the eigenvalue sample set. Neural network classifier can do with these sample sets)

Direct Torque Control, Induction Motor Vector Control Without