viterbi

说明：  3D分形维数计算，Box-counting算法和MinkowskiMethod算法(Fractal dimension,Box-counting and MinkowskiMethod)

说明：  生物特征识别技术作为一种身份鉴别手段具有独特的优势。在生物特征识别系统中, 采集数据的预处 理是不可或缺的环节。以人脸识别为例, 介绍了一种在复杂背景的彩色图像中, 基于颜色和知识的生物特征预处理 方法。首先利用颜色信息从图像中分割出类肤色区域, 然后运用人脸几何特征和眼睛的提取定位人脸。仿真实验表 明, 该算法能较为准确地定位彩色图像中的正面或小角度偏转的人脸, 具有较快的运算速度。(Biometrics as an identification tool has a unique advantage. In biometric systems, collect data preprocessing is an indispensable link. To face recognition, for example, presents a complex background in color images based on color and knowledge of the biological characteristics of pretreatment. The first to use color information to separate out the classes from the image color region, and then use face extraction of geometrical features and eye positioning face. Simulation results show that the algorithm can be more accurately locate color images in a positive or small-angle deflection of the face, with a faster computational speed.)

PCA:Principal Component Analysis Usage: [eigvector, eigvalue] = PCA(data, options) [eigvector, eigvalue] = PCA(data)(PCA Principal Component Analysis Usage: [eigvector, eigvalue] = PCA(data, options) [eigvector, eigvalue] = PCA(data))

基于VC++和Matlab实现的常用图像编码算法，包括Huffman编码、Fano编码、算术编码、游程编码、Shannon编码及信源熵的计算的常用编码算法。(VC++ and Matlab common image coding algorithms, including Huffman coding, Fano coding, arithmetic coding, run-length coding, Shannon coding and source entropy calculation commonly used coding algorithm.)

UN PROGRAMM DE BRUSHLESS DC MOTOR IN M FILE PART 4

wind energy conversion system connected to grid through matrix converter

matlab读取dbf格式文件，使用成功可以。(matlab read dbf format file)

几个用于统计方法的matlab程序，结构简单，运算快捷，节省内存(Several statistical methods for the matlab program, simple structure, computing faster, save memory)

H=CIRCLE(CENTER,RADIUS,NOP,STYLE) This routine draws a circle with center defined as a vector CENTER, radius as a scaler RADIS. NOP is the number of points on the circle. As to STYLE, use it the same way as you use the rountine PLOT. Since the handle of the object is returned, you use routine SET to get the best result.

计算两个区域的相关系数的平均值 速度比直接用regress函数 快很多很多(calculate the mean correlation coefficient of two areas)