chap4

Used in SVM Classification

刚找到的一个强跟踪滤波源代码，希望对大家有帮助(Just found a strong tracking filter source code, I hope all of you will help)

用kalman算法实现系统辨识，最终实现滤波，具有精度高，收敛快的特点(System identification algorithm using kalman, and ultimately the filter, with high precision, fast convergence characteristics)

等均值竞争算法，其性能不硬判决算法CL要优越(And other means competitive algorithm, its performance is not a hard decision algorithm to be superior to CL)

PCA-SIFT的matlab源码，可以对图像的SIFT特征进行PCA主成成分提取，达到降维的目的(PCA-SIFT matlab source image SIFT features the PCA main into ingredients extracted achieve dimensionality reduction purposes)

利用响应面方法对多学科协同优化方法进行改进，并用算例验证了改进的协同优化方法的有效性(Using response surface methodology multidisciplinary collaborative optimization method to improve the effectiveness of the improved collaborative optimization method, numerical example)

说明：  侦察无人机搭载SAR设备对区域进行覆盖搜索侦察的路径规划。(The UAV carries SAR equipment to plan the path of coverage search reconnaissance.)

自适应量化。读取wav文件，使用2到12比特量化。抽样频率8khz(Adaptive quantization. Read wav files, using 2-12 bit quantify. Sampling frequency of 8kHz)

0-1整数规划有很广泛的应用背景，比如指派问题，背包问题等等，实际上TSP问题也是一个0-1问题，当然这些问题都是NP问题，对于规模较大的问题用穷举法是没有办法在可接受的时间内求得最优解的，本程序只不过是一个练习，得意之处是用递归法把所有解都排列出来。另：胡运权所著的《运筹学基础及应用（第三版）》第97页的例3，我用本程序求解得到的结果是：最优解是x*=(1,0, 0, 0, 0)，最优值是f(x*)=8，但书求得最优解是x*=(1,0, 1, 0, 0)，最优值是f(x*)=4，是不是书中写错了，请大家验证。以下是源程序，大家可以任意使用无版权问题，另外，如果大家有大规模的0-1规划的问题也希望提供给我，谢谢。变量个数至少是3个(0-1 Integer Programming is a very broad background, such as assignment, bags and so on. actually TSP is a 0-1, of course, these problems are NP, for larger problem with the law is not exhaustive approach in an acceptable time frame to obtain the optimal solution. this procedure is only one practice, farewell tour is the method used recursive all of the solutions to show. Another : Hu Yun-author of "operational research, and application base (third edition)" Article 97 of the three cases, I use this procedure to solve the result is : is the optimal solution x = (1,0, 0, 0, 0), the optimal values of f (x*) = 8, but the book is to find the optimum solution x = (1,0, 1, 0, 0), the optimal values of f (x*) = 4, the book is not a mistake, please certification. Following is the source)

用Matlab的GUI编写的计算器程序，在这个界面中，可自行输入贷款金额、利率与时间，求算贷款利息。(Matlab' s GUI with the preparation of the calculator program, at this interface, you can enter the loan amount, interest rate and time, calculating loan interest.)