整理好的实现智能预测控制算法MATLAB环境源码

pca进行特征提取源码，用matlab语言编写，pca即主成分分析(pca source for feature extraction using Matlab language, pca that Principal Component Analysis)

本文总结了matlab中常用的函数，并对其功能进行说明。(This paper summarizes the commonly used matlab functions, and explain its function.)

简单的huffman编解码例子，对于初学者会有很大的帮助。(Simple huffman codec examples, for beginners, there will be a great help.)

数值分析中几个基础的matlab程序，包括选主元的高斯消去，矩阵的LU分解以及Jacobi迭代(Numerical analysis of several matlab-based procedures, including the election of the principal Gaussian elimination, LU decomposition of matrices and Jacobi iteration)

Matlab PSO微粒群算法程序（优化函数极值） (Matlab PSO PSO procedure (optimization function extreme value))

实现典型相关分析，可直接计算得到多重分形谱,是学习PCA特征提取的很好的学习资料，研究生时的现代信号处理的作业，主同步信号PSS在时域上的相关仿真，通过反复训练模板能有较高的识别率。

Solving knapsack with MATLAB

计算声发射时域信号特征值：裕值，振幅因子FK、fc，峭度，(Calculation of acoustic emission time-domain signal characteristic values: margin value, the amplitude factor FK, fc, kurtosis,)

对需要分析的振动信号进行预处理，消除趋势项(To deal with the vibration of the signal preprocessing, eliminate trend)

Adaptive filter using Matlab