webinar_files

说明：  这是一篇关于GPS信号的捕获文章，采用的是DF差分相关捕获的算法，具有在较低信噪比的情况下捕获信号(This is an article about the capture of GPS signal, using the DF algorithm to capture differential associated with low signal to noise ratio in the case of capture signal)

matlab例题程序，功能比较齐全，涵盖面广，适用于初学者使用(these are some example for matlab,it introduce the function in detail including extensive context, it is fit for basic study)

模式识别 二维高斯随机数 fisher线性分类器(Two-dimensional Gaussian random number pattern recognition fisher linear classifier)

因为MATLAB需要用到处理器的数学运算部分(MATLAB默认用的是INTEL的数学处理单元),故需要设置一下BLAS(Basic Linear Algebra Subroutines,就是"基础线性几何子程序"的意思)环境变量. 首先请确认你的MATLAB的文件夹中有如下文件:atlas_Athlon.dll(AMD系列的请用这个)， atlas_P4.dll(P4的用这个)，atlas_PIII.dll(P3的用这个)，atlas_PII.dll(P2的用这个)，这些是对应处理器的数值运算优化文件 } 先找到 $MATLAB7inwin32目录下的atlas_Athlon.dll（AMD系列CPU使用）和atlas_P4.dll（奔4用）文件，放到MCR目录中（随便），然后设置环境变量 变量名：BLAS_VERSION 变量值：D:MCRv70atlas_Athlon.dll(Because the MATLAB mathematical operations need to use some of the processor (MATLAB is used by default INTEL mathematical processing unit), so you need to set BLAS (Basic Linear Algebra Subroutines, is " based on linear geometry subroutine" means) environment variable. First make sure your MATLAB folder the following files: atlas_Athlon.dll (AMD series please use this), atlas_P4.dll (P4' s with this), atlas_PIII.dll (P3' s use this), atlas_PII.dll ( P2, use this), these are the values corresponding to processor operations to optimize file} first find $ MATLAB7 bin win32 directory atlas_Athlon.dll (AMD series CPU use) and atlas_P4.dll (Pentium 4 with) file, put MCR directory (random), and then set the environment variable variable name: BLAS_VERSION variable value: D: MCR v70 atlas_Athlon.dll)

在银催化剂上进行乙烯（ET或C2H4）氧化合成环氧乙烷（EO）反应器模型代码 (Oxide synthesis of ethylene oxide (EO) reactor model code on the silver catalyst, ethylene (ET or C2H4))

对于混沌系统进行李雅普诺夫指数计算以及其指数谱仿真(chaos system lyapunov)

课程设计中实现matlab的最优化设计，程序代码包括各种算法，如最速下降法 共轭梯度法，牛顿法，修正牛顿法，拟牛顿法，信赖域法，显式最速下降法， MDOMxw梯度投影法，修正G－N法，基本粒子群算法，带压缩因子的粒子群算法，权重改进的粒子群算法，ZMGGiit二阶粒子群算法等等。 (Curriculum design to achieve matlab optimization design, program code includes a variety of algorithms, such as the steepest descent method conjugate gradient method, Newton s method, modified Newton method, quasi-Newton method, trust region method, explicitly steepest descent method, MDOMxw gradient projection law, amendment G-N method, particle swarm algorithm, particle swarm algorithm with compression factors, weights improved particle swarm optimization, ZMGGiit second-order particle swarm optimization and so on. )

sift flow, a new method for decribing the images, it could be applied for many applications

说明：   使用二分法对样本集进行剪辑，剪辑法的思想，就是将样本集分成训练集与考试集， 利用训练集样本对考试集的样本进行分类（使用近邻法），如果考试集中某个样本分类错误的话，将这个样本删除。在该函数中，使用最近邻法，只进行一次剪辑（遍历完考试集中的样本以后退出）。还有一种重复剪辑法（适用于样本比较多的情况），把样本随机分为多个样本集，将相邻的两个样本前一个作为考试集，后一个作为训练集，调用二分剪辑。所有的样本子集剪辑完毕以后，在递归调用，直到没有样本被剪辑掉,没得讲，重复剪辑的效果肯定好一些。 (The sample sets using the dichotomy of the clips, editing law idea is to sample set into training set and test set, using the training set samples to the test set of samples (using the nearest neighbor algorithm), if the examination focused on a sample of classification error then delete this sample. In the function, use the nearest neighbor method, only once clips (focused on a sample of traversal finished after the exit exam). There is also a repeat clip method (samples are more applicable to the case), the samples were randomly divided into multiple sample set, the two adjacent samples of the former one as a test set, the latter one as a training set, call the two sub-clips. All the samples were a subset of the clips after they have finished, in the recursive call, until there are no samples were clip out, did not have to say that the effect of repeated clips definitely better.)

matlab编写的频域分解法程序，可以在此基础上进行改进.(matlab prepared frequency domain decomposition procedures can be improved on this basis.)