euler.zip

不错的svm讲义，对于svm的背景和原理有比较详细的讲解(svm)

MATLAB-Simulink的系统仿真技术与应用（将我拖到迅雷下载哦）(Simulation technology)

this model show the design of sun seeker control system using neural network model refrence with neural network toolbox and SIMULINK with MATLAB

用matlab软件，实现adaboost算法。将数据集划分为训练集和测试集，给训练集的数据贴标签，用训练好的模型来测试测试数据的准确度。(Using Matlab to implement the AdaBoost algorithm. The data set is divided into training set and test set to label the data of the training set, and the accuracy of the test data is tested by the trained model.)

关于信号处理的SUPTITLE等6个函数，matlab里面一般都没有，专业人士用(SUPTITLE function on signal processing, matlab which in general are not, professionals with)

病态线性方程组的计算题，涉及Gauss消元法、雅可比迭代法、高斯-赛德尔迭代法、最速下降法和共轭梯度法。每一个方法，都编写一个m文件，封装成函数的形式。然后通过总的HilbLineEquSet.m文件来调用执行，画出误差曲线图，得到运行结果。总的Matlab程序流程，如下所示： 病态方程组的计算包括：HilbLineEquSet.m、gauss.m、jacobi.m、gauss_seidel.m、fastest_descend.m和conjugated_grad.m六个文件。 程序执行结果包括：求解结果、迭代次数、迭代误差数据、误差曲线图等。 (Morbid Linear Equations calculation problems involving Gauss elimination method, Jacobi' s iterative method, Gauss- Seidel iterative method, steepest descent method and conjugate gradient method. Each method, all the preparation of an m file, packaged in the form of a function. Then the total HilbLineEquSet.m file to invoke the implementation of draw error curve, to be running results. General Matlab program flow, as follows: the calculation of morbid equations include: HilbLineEquSet.m, gauss.m, jacobi.m, gauss_seidel.m, fastest_descend.m and conjugated_grad.m six documents. Procedures for implementation of the findings include: solving a result, the number of iterations, iterative error data, error curve and so on.)

分析了弹道仿真数学模型的特点、并以滑翔增程弹为例，详细研究了在M文件、simulink工具箱以及两者交互使用环境下建立外弹道质心运动系统仿真模型的方法和优缺点。 (Analysis of the ballistic characteristics of the mathematical model simulation and Gliding Range shells as an example, a detailed study of the M paper, simulink toolbox and use both interactive environment to establish external ballistics center of mass movement system simulation model and the advantages and disadvantages.)

用Adaboost算法实现人脸识别，程序语言为matlab语言(Face Recognition with Adaboost algorithm, programming language for the matlab language)

一个粒子滤波简单的例子。运行方法：解压之后，放到工作目录，运行PF_ex1.m(a simple example of particle filter.)

CFAR阈值 -逆高斯分布的CFAR检测阈值，计算公式带积分，考虑能否用高贵软件小目标CFAR公式阈值代替？？利用查表法！(CFAR threshold- inverse Gaussian distribution of CFAR detection threshold, the formula with integral, consider whether the use of noble software small target CFAR formula threshold instead? ?? Use look-up table method!)