IMF1

support vector classification machine ％ soft margin ％ uses "kernel.m" ％ ％ xtrain: (Ltrain,N) with Ltrain: number of points N: dimension ％ ytrain: (Ltrain,1) containing class labels (-1 or +1) ％ xrun: (Lrun,N) with Lrun: number of points N: dimension ％ atrain: alpha coefficients (from svcm_train on xtrain and ytrain) ％ btrain: offest coefficient (from svcm_train on xtrain and ytrain) ％ ％ ypred: predicted y (Lrun,1) containing class labels (-1 or +1) ％ margin: (signed) separation from the separating hyperplane (Lrun,1(support vector machine classification% s oft margin% uses "kernel.m"%% xtrain : (Ltrain, N) with Ltrain : number of points N : % ytrain dimension : (Ltrain. 1) containing class labels (-1 or 1)% xrun : (Lrun, N) with Lrun : number of points N : % atrain dimension : alpha coefficients (from svcm_train on xtrain and ytrain)% btrain : offest coefficient (from svcm_train on xtrain and ytrain)%% ypred : predicted y (Lrun. 1) containing class labels (-1 or 1)% margin : (signed) separation from the separating hyper plane (Lrun, 1)

Window下c程序设计的初级教程（含代码），c程序员在windows下开发程序应该阅读的第一部资料(Programming windows via C)

说明：  区域生长 区域生长的一个关键是选择合适的生长或相似准则， 大部分区域生长准则使用图像的局部性质。(A key growth region growing area is to select the appropriate growth or similar criteria, the local nature of most of the regional growth guidelines for using the image.)

SEGMENTATION CODE FOR LUNG CANCDDER

Probability of error with BPSK

create feature untuk feature horisontal

K近邻法的matlab程序，发现大家都在找它！(K-nearest neighbor method of Matlab procedures, I found that we all have to find it!)

主要介绍了matlab的一些简单的命令，和它的功能以及使用方式，非常适合初学者。(Matlab introduces some simple commands, and its features and use, ideal for beginners.)

Matlab编程实现FFT变换及频谱分析的程序代码（适合初学者加强理解）。（1)用Matlab产生正弦波,矩形波,以及白噪声信号，并显示各自时域波形图；(2)进行FFT变换，显示各自频谱图，其中采样率，频率、数据长度自选；(3)做出上述三种信号的均方根图谱,功率图谱,以及对数均方根图谱；(4)用IFFT傅立叶反变换恢复信号，并显示恢复的正弦信号时域波形图。(Matlab codes for FFT Understanding which contains sine wave,rectangular wave and the reletaed frequency spectrum figure about MSE,Log,IFFT and so on.)

Statistical Signal Processing