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贝叶斯分类器的设计实验，内有解释利于入门学习(Bayesian classifier design experiments, which help to explain the study entry)

作为算法实现的应用,对光子晶体光波导的电磁耦合效应进行了数值仿真研究,结果证实:波导耦合区域内不同半径比介质柱所导致的结构变化将造成耦合长度的改变,且其耦合关系曲线具有平稳区与迅变区两类不同特性的变化范围区间。(As the algorithm' s application, on the photonic crystal waveguide for electromagnetic coupling numerical simulation, results show: waveguide coupling region different than the dielectric cylinder radius of the structural changes caused by the coupling length will cause a change, and its coupling curve has a smooth area with the fast-changing area characteristics of two different range interval.)

mean shift algorithme for clustering

在ｍａｔｌａｂ上实现的特定人小词汇量的语音识别程序。先输入１０个模板，第１０个为退出命令，然后再根据提示进行识别(in Matlab achieve specific small- vocabulary voice recognition procedures. Importing 10 templates, 10 to withdraw from the order, then under the prompt identification)

Numerical RecipeS is a series of text and reference books on "the art of scientific computing" that is famous for its engaging text and lucid mathematical and algorithmic explanations

理论地震学中用来求解理论模型的到时信息，用于各种震相的提取。(seismology for calculating synthetic travel time)

使用ARGO数据求解经验正交函数，只给出了基本程序，无实测数据，是个小程序(ARGO data solving empirical orthogonal function, given only the basic procedures, no measured data is a small program)

仿真信号，及其对其进行故障诊断的方法程序，可用于实际信号的分析(Simulated signals, and its method of fault diagnosis procedures can be used for the actual analysis of the signal)

fit_ML_normal - Maximum Likelihood fit of the laplace distribution of i.i.d. samples!. Given the samples of a laplace distribution, the PDF parameter is found fits data to the probability of the form: p(x) = 1/(2*b)*exp(-abs(x-u)/b) with parameters: u,b format: result = fit_ML_laplace( x,hAx ) input: x - vector, samples with laplace distribution to be parameterized hAx - handle of an axis, on which the fitted distribution is plotted if h is given empty, a figure is created. output: result - structure with the fields u,b - fitted parameters CRB_b - Cram?r-Rao Bound for the estimator value RMS - RMS error of the estimation type - ML

简单快速近邻算法是一种典型的模式识别方法：在二维平面一矩形范围内随机产生训练样本，任意划分为三个区域，用快速近邻法确定待识别实验样本的所属分类。(Simple and fast nearest neighbor algorithm is a typical pattern recognition methods: randomly generated training samples in a rectangular range of two-dimensional plane, arbitrarily divided into three regions to determine the unknown experimental samples of Class fast nearest neighbor.)