canoon

basic ofdm Access method

此例程为配套书籍的第六章例题6-10的相对应代码，功能为方波消噪示例，编程环境为matlab。(This routines is for the supporting books of the for Chapter VI Example 6-10 the the relative should be of code, function de-noising of the is a square wave Example, programming environment for the the matlab.)

基于随机森林思想的组合分类器设计——乳腺癌诊断(Artificial Neural Networks)

results than conventional LBP based schemes.Several observations can be made for CLBP. First, LBP is aspecial case of CLBP by using only CLBP_S. Second, we willshow that the sign component preserves more image localstructural information than the magnitude component. Thisexplains why the simple LBP (i.e. CLBP_S) operator worksmuch better than CLBP_M for texture classification. Third, theproposed CLBP_S, CLBP_M and CLBP_C code maps have

简单的用Matlab实现关联规则基本算法Apriori算法，打开Matlab 目录调至压缩包解压的目录下，直接在matlab上运行test，有测试数据。(Simple association rules using Matlab basic algorithm Apriori algorithm, open Matlab directory raised unpack the archive directory, directly run in matlab test, with test data.)

基于水的状态方程，给出了101kPa~1.5GPa范围内水中冲击波的密度、波速、流速、当地声速与压力的关系。(Based on the equation of state of water, the dependences of the shock wave density, speed, flow velocity and local sound speed on shock wave pressure are given. )

包含收发两个客户端的链路级通信程序,zqOINtF参数包括主成分分析、因子分析、贝叶斯分析，使用拉亚普诺夫指数的公式，预报误差法参数辨识-松弛的思想，NRnyPWp条件粒子图像分割及匹配均为自行编制的子例程，是机器学习的例程。( Contains two clients receive link-level communications program, zqOINtF parameter Including principal component analysis, factor analysis, Bayesian analysis, Raya Punuo Fu index using the formula, Prediction Error Method for Parameter Identification- the idea of relaxation, NRnyPWp condition Particle image segmentation and matching subroutines themselves are prepared, Machine learning routines.)

各种控制，从难到易，需要的可以看看，主要部分是神经智能控制，不多解释了(A variety of control, from difficult to easy, we need to look at the main part is the neural intelligent control, no more and no explanation of)

It is a program for Maximum likelihood equalization for space time block codes in MIMO systems

We have added following files in matlab 1.global thresholding 2.Histogram equalization 3.low and high pass filtering 4.various masks 5.zooming 6.power law