2103113517200512181646569915973

matlab工具箱，SVM。。。支持向量基(matlab toolbox, SVM. . . Support vector-based)

说明：  独立成分分析算法降低原始数据噪声，并提取特征值，非常有用得数据去噪程序。(Independent component analysis algorithm reduces the raw data noise, and extract characteristic value, is more helpful data denoising procedure.)

IEEE 30 BUS 數據資料 以便大家對於分析配電系統(IEEE 30 BUS data to facilitate analysis of the distribution system)

Vth system calculation

包含优化类的几个简单示例程序，基于人工神经网络的常用数字信号调制，FMCW调频连续波雷达的测距测角，分析了该信号的时域、频域、倒谱，循环谱等,Matlab实现界面友好，仿真图是速度、距离、幅度三维图像，对信号进行频谱分析及滤波。( Optimization class contains several simple sample programs, The commonly used digital signal modulation based on artificial neural network, FMCW frequency modulated continuous wave radar range and angular measurements, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. Matlab to achieve user-friendly, FIG simulation speed, distance, amplitude three-dimensional image, The signal spectral analysis and filtering.)

计算光子晶体的能带投影图，为波导模的确定以及光子晶体薄板提供基础(calculated photonic crystals with projection to determine the mode waveguides and photonic crystal to provide the basic sheet)

用不同插值方法对数据进行一维插值，通过结果不难看出，不同的插值方法导致不同的插值结果(One-dimensional interpolation data with different interpolation methods is not difficult to see through the results of different interpolation methods lead to different interpolation results)

使用广义最小二乘法辨识系统参数,这是《系统辨识》这门课程的程序，希望大家（特别是上这门课需要写论文的同学）能够用得上(Using generalized least squares identification system parameters, this is the " system identification" procedure for this course, I hope you (especially on this course requires students to write papers) to the lingua franca of)

说明：  BP神经网络matlab实现和matlab工具箱使用实例(Implementation of BP neural network and matlab toolbox use cases)

快速傅立叶变换的补0问题 相信会对大家有帮助 CNKI的浏览器可以打开(Fast Fourier Transform Regrant 0 issues we believe will help CNKI browser can open)