lpc

利用4 PAM映射计算误码率 （caclulating BER with 4 PAM mapping, srrc pulse shaping）

基于RSSI的测距定位算法，可以直接自己写demo然后进行测试，十分的方便(RSSI-based distance positioning algorithm can write your own demo and then test, very convenient)

perform cross correlation between two time series

基于matlab的指纹图像细化处理程序matlab源码。(Matlab-based fingerprint image thinning processing matlab source.)

猜数字游戏：首先让电脑产生一个1~100的随机数x,然后由用户猜测该数字。如猜测的数字B大于x，则显示“High”，小于则显示“Low”，等于则显示“You Won”，同时退出游戏。用户最多可以猜10次。 ()

The Lyapunov fractal is generated using logistics formula. Three types of fractal are generated with this script. The fractal is generated in 7 seconds.

fill in the user structure for a core dump..

Dicar6000 Injector Test Program

特徵粹取（feature extraction）是特徵選取（feature selection）的延伸，簡單地說，我們希望將資料群由高維度的空間中投影到低維度的空間，因此，我們必須找出一組基底向量（base）來進行線性座標轉換，使得轉換後的座標，能夠符合某一些特性。 我們可以將特徵粹取分成「包含類別資訊」和「不包含類別資訊」兩大類。包含類別資訊指的是我們已經知道哪些資料分別歸屬於哪一類；而不包含類別資訊的特徵粹取則適用於我們不知道手上的資料點分別該歸屬於哪一類，甚至連該劃分成幾類都不知道的情況。對於這兩大類資料，可以分述如下： 對於「不包含類別資訊」的資料，我們通常使用「主要分量分析」（principal component analysis），簡稱 PCA。 (Cuiqu features (feature extraction) is feature selection (feature selection) extension, simply put, we want to base the projection data the high-dimensional space to low-dimensional space, so we have to find a set of basis vectors ( base) to the linear coordinate conversion, so that after the coordinate conversion, can meet a number of features. We can feature Cuiqu into " category contains information" and " does not contain a category of information," two categories. Contains categories of information refers to what we already know what kind of information are attributed to Cuiqu features include categories of information are not applicable to information we do not know the points are in the hands of the home in which category, and even that is divided into several class do not know the situation. For these two categories of information, can be divided as follows: For information " does not include the categories of information" , we usually use the " )

蚁群聚类算法，这个算法在处理油色谱数据时很有用的(Ant colony clustering algorithm, this algorithm is useful when dealing with the oil used for chromatographic data)