ARIMA--AIC

simple lattice Boltzmann code in matlab

Normally boxplot plots the whiskers with a maximum length based on the distance between the 25th and 75th percentile. This script uses boxplot but plots the whiskers for a specified percentile and only plots the outliers beyond the new whiskers. Note that the percentile is defined as the data point just beyond the calculated percentile. For example, if the 98th percentile lies between the 4th and 5th highest data points, then the 4th highest data point will be considered the 98th percentile, the whisker will extend to the 4th highest, and only the 4 highest values will be plotted as outliers.

autofocusing algorithms using matlab

This is a matlab figure with a scrollbar demo.

计算二维无约束优化的Powell法和坐标轮换法,以及一维搜索的黄金分割法和搜索区间确定的两个子程序.(Calculation of two-dimensional unconstrained optimization method of Powell and coordinate rotation method, as well as one-dimensional search of the golden section method and the search interval determined by the two subroutines.)

Matlab source for conventional, SINR, Null-steering and minimum variance bemforming in 8 sensors

3.Bifurcation analysis Bifurcation analysis has to be done for finding the different eigen values. eigen value plot has to be made for understanding the movement of the eigen values stable to unstable region to understand the stability of the system according to the change in system parameters.Bifurcation analysis has to be done for a 9-bus ,39 bus ,14bus,30 bus system with and without connecting squirrel cage induction generator to the system. single turbine generator has to be considered first and after that a wind farm with more than 10 turbine generators has to be connected

实现多阈值自动分割，在车牌识别应用效果很好(Automatic segmentation of multi-threshold, good effect in the vehicle license plate recognition applications)

讲述了遗传算法，内容全面而且易懂，适用于初学者的(About genetic algorithms, comprehensive and understandable for beginners)

用matlab实现去趋势互相关分析的DCCA算法，将两组数据分析其协方差，最后得到DCCA指数，并进行T检验(DCCA algorithm using matlab detrended cross-correlation analysis, two sets of data to analyze the covariance last DCCA index, and T-test)