HMM的实例分析

基于均值漂移算法实现图像的分割，总共带有三个文件，其中两个是两个子程序(Based on mean-shift image segmentation algorithm, with a total of three documents, two of which are the two subroutines)

说明：  选取文本，通过程序自动选取当先目录下的所有文件(selecting text)

支持向量机(SVM)与最小二乘支持向量机(LS-SVM)的核函数选择(Support vector machine (SVM) and least squares support vector machine (LS-SVM) kernel function selection)

power electronic-Buck-forward converter-this is a Psim file

直接序列扩频，信道采用重复编码，2psk调制，针对白噪声，多径环境下的误码率仿真(Direct sequence spread spectrum, channel coding using repeated, 2psk modulation, for white noise, BER simulation of multipath environments)

关于信息恢复的程序。输入恢复类型、恢复向量导引和测度矩阵即可恢复出原向量。测度矩阵可以通过getmat.m文件生成。(With regard to the information recovery procedures. Enter recovery type, to restore vector guide and measure matrix can be restored to the original vector. The measurement matrix through getmat.m file generation.)

This is a good example of brownian motion is cartesian coordinates. the results are illustrated

说明：  乘幂法 求绝对值最大的特征值 数字计算 数值计算(Power law the largest eigenvalues of absolute value figures)

代码给出了图像加噪的过程，及模糊及高斯噪声图像的恢复过程(Code shows the process of image processing, noise, and Gaussian noise images fuzzy and recovery process)

用小波神经网络解决人脸识别问题，很好用的哦(wavelet neural networks to solve problems face recognition, oh, the good)