A星算法

最小二乘法的Matlab参数辨识程序,用于对模型的识别。(Least squares method of Matlab parameter identification program )

DIGITAL MULTI-SIGNATURE SCHEME BASED ON ELLIPTIC CURVE

Machine Learning Code maze policy iteration value iteration

create a function in neural network

说明：  不用直接调用函数的canny算子的matlab源码，可以直接运行产生结果。(Without directly calling functions canny operator matlab source code, can run to produce results.)

test tapi applications

基于多观测矢量的正交匹配追踪算法 正确估计信号的DOA(MMV bases on omp used to DOA)

一个实现运动估计的matlab程序 经过测试不错的，推荐给大家(motion detection programed by matlab)

基于区域生长的彩色图像分割算法的研究与应用(Research and Application of Regional Growth Color Image Segmentation Algorithm)

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 " )