Programing-the-Finite-Element-Method-with-matlab

This file contains the e-book "The introductions to pattern recognition"

SVM multiclass classifier

基于matlab的条件平差方法的实现，以水准网为例构建条件方程(Implementation of the method based on the matlab conditions adjustment, leveling network, for example to build conditional equation)

NewInt案例，主要是以matlab軟件來運算標準題型。(NewInt cases, mainly matlab software to compute the standard questions.)

欢迎大家下载学习，包括最小二乘法、SVM、神经网络、1_k近邻法,基于chebyshev的水声信号分析，课程设计时编写的matlab程序代码，基于欧几里得距离的聚类分析，模式识别中的bayes判别分析算法，包括脚本文件和函数文件形式。( Welcome to download the study, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Based chebyshev underwater acoustic signal analysis, Course designed to prepare the matlab program code, Clustering analysis based on Euclidean distance, Pattern Recognition bayes discriminant analysis algorithm, Including script files and function files in the form.)

说明：  基于支持向量机和模糊系统的机器学习方法及其应用研究 文档 写的很好(SVM Fuzzy SYSTEM )

用matlab进行数据的预处理 内含详细的代码(Data preprocessing with detailed code)

基追踪算法，BP，求解压缩感知一范数模型(Basis puisuit algorithm used for Comprssed sensing model)

a routine for Gaussian elimination together w/ gepivot.m which you will need for running

先用butter filter去除噪音，再找到信号峰，对峰描叙的条件可以自行调整(butter filtering, and peak finding)