vlfeat-0.9.13-bin.tar

采用db4小波对是与信号进行降噪处理，实际效果良好(Using DB4 wavelet denoising is processing and signal, the actual effect is good)

集成了C代码和MATLAB的主成分分析代码，可以用这两种方法解决求取特征值和特征向量。(C code and MATLAB integrates principal component analysis code, you can use two methods to solve strike eigenvalues ​ ​ and eigenvectors.)

有关Matlab的一些关于计算性问题的源程序代码，做课程设计时用到的,有一定的实用价值 (For Matlab source code on computational problems, to do curriculum design used.)

说明：  按FPE定阶的 源程序：fpe.cpp M序列：M序列.txt 白噪声：Gauss.txt 程序中先用依模型阶次递推算法估计模型的参数，再用fpe方法判断模型的阶次。 程序运行结果如下： n: 1 判断阶次FPE的值: 0.0096406 -0.481665 1.07868 n: 2 判断阶次FPE的值: 0.00875755 -0.446739 0.00498181 1.07791 0.0527289 n: 3 判断阶次FPE的值: 0.0087098 -0.459433 0.120972 -0.0569228 1.07814 0.0390757 0.116982 n: 4 判断阶次FPE的值: 0.000396884 -0.509677 0.4501 -0.200906 0.0656188 1.07991 -0.0156362 0.442989 0.0497236 n: 5 判断阶次FPE的值: 3.2095e-007 -1.18415 0.813123 -0.517862 0.34881 -0.116864 1.07999 -0.744141 0.474462 -0.253112 0.122771 n: 6 判断阶次FPE的值: 3.23349e-007 -1.14659 0.76933 -0.487651 0.329676 -0.10377 -0.00440907 1.07999 -0.703574 0.447253 -0.235282 0.113587 0.00479688 从以上结果可以看出，当n=5时，fpe值最小，所以这时的模型阶次和参数估计值为最优结果： 3.2095e-007 -1.18415 0.813123 -0.517862 0.34881 -0.116864 1.07999 -0.744141 0.474462 -0.253112 0.122771(err)

参考《Multiple Object Tracker Using K-Shortest Paths》实现的代码，使用K最短路径实现多目标追踪功能。(Reference " Multiple Object Tracker Using K-Shortest Paths" to achieve code, use the shortest path K multi-target tracking capabilities.)

"Guess The Number" Gae For Beginers.

Visual C++_MATLAB图像处理与识别实用案例精选+源代码(Visual C++ _MATLAB image processing and recognition of practical case selection+ Source Code)

通信网实验报告 用MATLAB实现话务量的计算(Communication network traffic using MATLAB realize the calculation)

matlab与CC++混合编程程序，可以参考下，适合初学者(matlab and C C++ mixed programming program, you can refer to, for beginners)

用matlab实现dds，并进行相关参数分析(Using matlab to achieve dds)