fdd

DA_Eyes detection matlab code

RS编解码的仿真，对初识RS的可能有所帮助(RS simulation)

FCM Data set clustering using fuzzy c-means clustering. [CENTER, U, OBJ_FCN] = FCM(DATA, N_CLUSTER) finds N_CLUSTER number of clusters in the data set DATA. DATA is size M-by-N, where M is the number of data points and N is the number of coordinates for each data point. The coordinates for each cluster center are returned in the rows of the matrix CENTER. The membership function matrix U contains the grade of membership of each DATA point in each cluster. The values 0 and 1 indicate no membership and full membership respectively. Grades between 0 and 1 indicate that the data point has partial membership in a cluster. At each iteration, an objective function is minimized to find the best location for the clusters and its values are returned in OBJ_FCN.

杆系结构的大量有限元MATLAB编程代码，，(Truss structures, a large number of finite element MATLAB programming code,)

matlab蚁群算法法，要使用城市坐标的版本 (For matlab ant colony algorithm method, you want to use the version of the city coordinates)

udf的C源代码 fluent速度入口 速度函数为一个抛物线(C source code fluent udf velocity inlet velocity function is a parabola)

说明：  一个基于pluto传输图像的程序，检测图片并通过pluto传输和接受，接受后画出接受文件的频谱密度图像和星座图(A program based on Pluto to transfer image, detect the image, transmit and accept it through Pluto, draw the spectrum density image and constellation map of the received file after receiving it)

基于matlab的pam仿真 附带源代码 (pam (using matlab) 基于matlab的pam仿真)

维纳滤波进行语音信号的增强，是学习现代信号处理和语音增强的很好的学习程序。(Wiener filtering speech enhancement is a good learning process for learning modern signal processing and speech enhancement.)

稀疏表示分类算法在ORL人脸库上的实验，参考文章： Wright J, Yang A Y, Ganesh A, et al. Robust face recognition via sparse representation[J]. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 2009, 31(2): 210-227. (Sparse representation classification algorithms on ORL face experiments, refer to the article: Wright J, Yang AY, Ganesh A, et al Robust face recognition via sparse representation [J] Pattern Analysis and Machine Intelligence, IEEE Transactions on, 2009, 31 (2):.. 210-227.)