spod_matlab-master

现有的代数特征的抽取方法绝大多数采用一维的方法，即首先将图像转换为一维向量，再用主分量分析（PCA）,Fisher线性鉴别分析（LDA）,Fisherfaces式核主分量分析（KPCA）等方法抽取特征，然后用适合的分类器分类。针对一维方法维数过高，计算量大，协方差矩阵常常是奇异矩阵等不足，提出了二维的图像特征抽取方法，计算量小，协方差矩阵一般是可逆的，且识别率较高。(existing algebra feature extraction method using a majority of the peacekeepers, First images will be converted into one-dimensional vector, and then principal component analysis (PCA), Fisher Linear Discriminant Analysis (LDA), Fisherfaces audits principal component analysis (KPCA), and other selected characteristics, then use the appropriate classification for classification. Victoria against an excessive dimension method, calculation, covariance matrix is often inadequate singular matrix, a two-dimensional image feature extraction method, a small amount of covariance matrix is usually reversible, and the recognition rate higher.)

自编的prony程序，能正常运行，拟合结果准确(prony precess)

用matlab语言写的CC4.5算法，用于模式分类 (CC4.5 algorithm written in matlab language for pattern classification)

用C++编写的一个用变步长梯形法来求积分的程序(Written in c++ ,a variable step size trapezoid method to integrate the process.)

瞬变电磁法测深的反演程序，主要针对的是三维情况。(Transient electromagnetic sounding method of inversion program, mainly for the three-dimensional case.)

逻辑航迹起始算法代码，实现简单的逻辑算法(logical algorithm for Track initiation)

样本熵是时间序列复杂度的一种度量, 在上个世纪末期由几位非线 性动力学研究者提出。样本熵比近似熵更具有相对一致性(Sample entropy is a measure of the complexity of the time series, at the end of the last century by several non-linear dynamics researchers. Sample entropy more than approximate entropy relative consistency)

some programs for image processing written in matlab.

遗传算法（Genetic Algorithm）是模拟达尔文生物进化论的自然选择和遗传学机理的生物进化过程的计算模型，是一种通过模拟自然进化过程搜索最优解的方法(Genetic Algorithm)

van la nhan dang cua Matlab