k-means

MATLAB7混合图像编程。详细介绍了MATLAB7.x与其它语言混合变成的方法。是程序开发更加高效，灵活(Graphics Programming MATLAB7 mixed. Described in detail MATLAB7.x become mixed with other language approach. Development is more efficient, flexible)

Voicebox is a toolbox for speech analysis and widely used in this field.

用smp算法实现基于压缩感知的磁共振图像重构(Smp algorithm for image reconstruction based on compressed sensing)

matlab代码实现的去雾处理，有参考图片(matlab code to fog treatment, reference picture)

在matlab环境下开发的图像边缘检测代码，用cannye算子实现其功能。(Matlab environment in the development of image edge detection code used cannye operator achieve its function.)

说明：  本文件为MATLAB GUI设计简单例程，包括两个源文件（.m和.fig）,还有可供查询的文本文件和Exel表格。其功能为查询txt及Exel文件格式的学生成绩。(This document is designed to be simple routines MATLAB GUI, including the two source files (. M and. Fig), there is a text file and available for query Exel form. Txt, and its function as a check student achievement Exel file formats.)

用于一维信号的小波包去噪，选取特定的阈值，采用最优小波基(For one-dimensional signal denoising using wavelet packet , select a specific threshold, the optimal wavelet)

基于matlab的LLE算法代码，是人脸识别代码中的子程序(LLE algorithm matlab-based code, the code is a subroutine face recognition)

ROC curves illustrate performance on a binary classification problem where classification is based on simply thresholding a set of scores at varying levels. Lenient thresholds give high sensitivity but low specificity, strict thresholds give high specificity but low sensitivity the ROC curve plots this trade-off over a range of thresholds (usually with sens vs 1-spec, but I prefer sens vs spec this code gives you the option). It is theoretically possible to operate anywhere on the convex hull of an ROC curve, so this is plotted too. The area under the curve (AUC) for a ROC plot is a measure of overall accuracy, and the area under the ROCCH is a kind of upper bound on what might be achievable with a weighted combination of differently thresholded results from the given classifier

利用支持向量机技术建立传感器的回归模型。利用粒子群算法优化回归模型参数，以达到提高建模效率及精度的目的。(The support vector machine technology to build the regression model of the sensor. Utilizing particle swarm optimization of the parameters of the regression model, in order to achieve the purpose to improve the efficiency and accuracy of the modeling.)