imagestack

filtering of file containg the filtering of file that is uploaded

说明：  在Bialas與Karwan的第 解演算法 [13] 則是搜尋限制式解域中的端點，並且歸類為已搜尋端點集合、未搜尋端點集合、可行解端點集合、非可行解端點集合，再從可行解端點集合中找出使高階目標值最佳的端點。(Bialas and Karwan in the first solution algorithm [13] is the search for solutions in the domain of endpoint constraints, and the endpoints are classified as a collection of search, not search a collection of endpoints, the endpoint set of feasible solutions, non-feasible solution side point set, then the endpoint from the set of feasible solutions in order to identify the best target endpoint.)

已知地震加速度记录，运用快速傅里叶变换求的加速度的傅里叶谱。(The known seismic acceleration records, the use of fast Fourier transforms acceleration Fourier spectrum.)

任意尺度的小波图像分解重构的MATLAB编程方案(Arbitrary scale wavelet image decomposition and reconstruction programs of MATLAB Programming)

用Matlab实现的NSGA2多目标优化算法的源程序，用户可以根据需要定义相应的参数(Using Matlab multi-objective evolutionary algorithm to achieve the source, the user can define the parameters of the corresponding)

说明：  轴承故障信号vmd分解及输出频谱图和幅值图，内含main、vmd及输出频谱图和幅值图三个程序，直接用main就行(VMD decomposition of bearing fault signal and output spectrum and amplitude diagram)

说明：  我们知道，小波变换的一级分解过程是，原始信号分别进行低通、高通滤波，再分别进行二元下抽样，就得到低频、高频（也称为平均、细节）两部分系数；而多级分解则是对上一级分解得到的低频系数再进行小波分解，是一个递归过程。以下是一维小波分解的程序. (We know that a wavelet transform decomposition process is that the original signal were low-pass, high pass filter, and then carried out under the binary sample, we obtained low-frequency, high-frequency (also known as the average, details) coefficient of two parts and Multi-level decomposition is a decomposition of the previous low-frequency coefficients to be further wavelet decomposition is a recursive process. Following is a one-dimensional wavelet decomposition process.)

System will automatically delete the directory of debug and release, so please do not put files on these two directory.

关于UWB仿真的 程序，对学习UWB仿真很有帮助的(UWB simulation program )

程序相当有用，可用于数学建模中。数据是实例，程序浅显易懂。(Program is useful for mathematical modeling. Data instance, the program easy to understand.)