six-humpcamelback

matlab的函数大全，按字母排序分类，是初学者的最佳选择。(matlab a function of Guinness, in alphabetical order classification, is the best choice for beginners.)

说明：  维纳噪声抑制 分辅助观测数据中漏入观测信号和不漏入观测信号两种情况讨论(Wiener noise suppression sub-assisted observational data leak into the observation signal and the signal does not leak into the observation to discuss two cases)

OFDM系统的整个流程，用MATLAB编写的程序(The whole process of OFDM system, using MATLAB program )

用 windows 管道与 MATLAB 建立连接(bridging MATLAB with Windows pipe)

参数自调整模糊PID调节器的仿真研究.pdf (fuzzy-pid)

simulation power quallity in matlab simunik

MATLAB FACE DETECTION FANTASTIC

The book is based on machines reference frame theory it gives clear explanations......

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 " )

国外的人写的运动检测跟踪的源码，用matlab编写(Sports Detected source tracking using matlab to prepare)