mel_endpoint2

毕业论文里用到的很多非常实用的统计学代码，找了很多天，里面还有自己写的代码的描述，分享给大家了，呵呵呵(Thesis in a lot of very practical use of statistical code, find a lot of days, which also has its own description of the code written to share for everybody, Ha ha ha)

AR过程的线性建模与功率谱估计 自相关值和Yule-Walker法(自相关法) 协方差法； Burg方法； 修正协方差法。(The linear AR process modeling and power spectrum estimation of autocorrelation and Yule-Walker method (autocorrelation) covariance method Burg method modified covariance method.)

上传的文件对数值分析课本里 Lagrange插值，Newton插值，三次样条差值，复合梯形公式和复合辛普森公式积，龙贝格算法，高斯消去法，LU分解，改进欧拉法MATLAB编程，并画出图形。(Upload the file to the numerical analysis textbook Lagrange interpolation, Newton interpolation, three times spline interpolation, the composite trapezoidal formula and Simpson formula of composite product, Romberg algorithm, decomposition of LU Gauss elimination method, the improved Euler method, MATLAB programming, and draw the graph. )

OFDM with BER calculation using bpsk

无线衰落信道 在无线移动信道中，信号从发射天线经过复杂的传播环境到达接收天线，接收信号为各反射、衍射和散射分量以及信道噪声的复合，因而会产生严重的失真。另外，移动信道中由于移动台运动或信道环境的改变会使信道特性随时间随机变化，接收到的信号由于Doppler效应会产生更为严重的失真。 (OFDM has superior performance when transmitting high rate data in wireless fading channel.)

基于主元分析的多元线性回归程序,输出回归系数，主元贡献率和拟合误差(multiple linear regression using pca)

线性SVM分类，数据已给出，代码很详尽哈(Linear SVM classification, data has been given, the code is very detailed and Kazakhstan)

强混沌干扰中的谐波信号提取算法，对XiangKJMethod进行了改进(Strong chaotic interference harmonic signal extraction algorithm has been improved for XiangKJMethod)

说明：  本设计为基于MATLAB特征点匹配的指纹识别系统。带有一个GUI界面。主要对指纹图像进行三方面处理：图像预处理、特征提取和特征匹配。图像预处理包括四个步骤：图像分割、滤波增强、二值化、细化，对指纹图像进行预处理后，去除了原图像的冗余部分，方便后续的识别处理；特征提取主要是提取指纹图像细化后的端点和分叉点；特征匹配是利用两个指纹的图像进行特征点比较，来确定两幅图像是否来自于同一手指。(This design is a fingerprint recognition system based on MATLAB feature point matching. With a GUI interface. Fingerprint image is mainly processed in three aspects: image preprocessing, feature extraction and feature matching. Image preprocessing includes four steps: image segmentation, filter enhancement, binarization and thinning. After preprocessing the fingerprint image, the redundant part of the original image is removed to facilitate the subsequent identification processing; feature extraction is mainly to extract the refined endpoint and bifurcation point of fingerprint image; feature matching is to determine the two images by comparing the feature points of two fingerprint images Is it from the same finger.)

虚拟出版社系统 模拟出版社的业务流程 程序Demo(Virtual Press System Simulation of business process procedures Press Demo)