buckclose

这个说明倒不是说明函数的功能，只是声明一下函数中出现的问题。 shortest()函数没有问题，在secshortest中我希望只得到一条次短路（或几条roadcost()值相同的次短路），结果却出来好几条，我仔细检查了一下程序，应该没有什么问题。 因此在使用时，要得到次短路，只能用roadcost()函数分别求一下各条路的权重和，找到最小的。 有些奇怪 (Note that this is not the function of function, but a statement about the problems in function. shortest () function there is no problem, I hope that in secshortest only a short time (or several roadcost () times the value of the same short-circuit), the result is several out, I carefully examined the process, it should be no problem. Therefore, in use, to be at a short circuit can only be used roadcost () function, respectively, for some of the weight of the road and find the smallest. Some strange)

基于模型的压缩感知工具箱，MATLAB代码，内有相关文章(This package contains Matlab implementations of various CS recovery algorithms that have been developed using the framework described in the above paper。Each folder in the package essentially consists of a CS recovery algorithm based on a particular signal model, and a script that tests that recovery algorithm.)

用matlab编写的小程序，能够实时显示系统时间，希望能对大家有帮助。(Real-time display system time)

单基雷达的空时导向矢量方向图的Capon谱示意图，基本空时自适应处理的程序(Oriented single radar vector direction of the space-time diagram of Capon spectrum diagram basic space-time adaptive processing procedures)

periodogram in a white noice

说明：  一些重要的matlab命令，关于多元正态分布(some matlab functions for multiple Gaussian distribution)

基于SVR的线性系统故障诊断，假设线性系统在1.4s~1.6s期间发生前向通道恒增益故障，恒增益变化系数为1.8(Linear systems based on SVR fault diagnosis, assuming a linear system in 1.4s ~ 1.6s during forward channel constant gain fault, constant gain coefficient of variation of 1.8)

matlab，有关数字信号滤波一个简单例子产生一个几个干扰信号，对要用的信号滤波(a matlab program aboult didital signal filter)

This is a Mat Lab code for predicting the hysteresis behaviour of any structural system using Bouc Wen Baber Noori (BWBN) model.

局部均值分解(Local Mean Decomposition)，处理非线性非平稳信号的一个方法，LMD是依据信号本身的信息进行自适应分解(Local Mean Decomposition, a method for processing nonlinear non-stationary signals, LMD is adaptive decomposition based on the information of the signal itself.)