Elevator

A Matlab DFT and IDFT implementation using matlab itself

待辨识对象参数a=[1 -1.5 0.7] b=[1 0.5] 输入采用长度L=400的白噪声序列，输出 ，输入和输出数据均含不相关随机噪声，ρ（k）=1/k。利用上述递推公式，辨识系统参数。(To identify the object parameters a = [1-1.5 0.7] B = [1 0.5] Input the length L = 400 white noise sequence, the output, the input and output data are not related with random noise, ρ (k) = 1/k. Using the recursion formula, identification system parameters.)

job shop scheduling for parallel machine

Arima模型选择差分项，并验证序列正确性(Arima model validates sequence correctness)

基于边缘和局部能量的NSCT变换遥感图像融合(Adaptive multi-spectral and panchromatic images fusion algorithm based on unsubsampled contourlet transform)

说明：  various matlab codes for dimentionality reduction

PLS FOR EVENT RELATED fMRI

用MATLAB实现并行以及快行的DDC,验证通过(MATLAB DDC)

Asymptotic partially directed coherence

MATLAB不提供现成指数拟合函数，一方面由于但可以轻松通过多项式拟合转化而来，但是使用上还是不如有一个函数方便，所以特写这样一样简单实用的函数(MATLAB does not provide ready-exponential fit function, by hand because it can be easily transformed a polynomial fit, but still not as good as there is easy to use a function, it is as simple close-up of such useful functions)