pdstrip

Bayes model averaging with selection of regressors - This program can be utilized for Bayesian Variable Selection using Gibbs Sampler(Bayes model averaging with selection of regressors- This program can be utilized for Bayesian Variable Selection using Gibbs Sampler)

使用基于峭度的FASTICA盲分离算法，实现对亚高斯信号和超高斯混合信号的分离，并从分离结果可总结出盲分离算法的两个不确定性。(FASTICA kurtosis-based blind source separation algorithm to achieve sub-Gaussian and super-Gaussian mixed-signal separation, the separation results from the separation algorithm can be summarized in two uncertainties.)

i m EC Engineer. p pursuing mater degree in gujarat.

Application of rule d nearest neighbor to build the partition of the Vornoi

说明：  这是一个优化资料，适合初学者参考，如有错误请指正，谢谢(This is an optimization of information, suitable for beginners and are subject to error, please correct me, thank you)

在随机模拟和数据分析中，此matlab的源程序和使用(In the stochastic simulation and data analysis, and use this matlab source)

识别线条的程序，自己的原创，能识别各种颜色的线条(Identify the lines of the program, their own originality, can identify a variety of color lines)

说明：  盒维数MATLAB计算程序。%根据计盒维数原理编写了求一维曲线分形维数的matlab程序 function D=FractalDim(y,cellmax) %求输入一维信号的计盒分形维数 %y是一维信号 %cellmax:方格子的最大边长,可以取2的偶数次幂次(1,2,4,8...),取大于数据长度的偶数 %D是y的计盒维数（一般情况下D>=1）,D=lim(log(N(e))/log(k/e)), (box dimension MATLAB program. % Under the box dimension of the principle of preparing for a peacekeeping curve fractal dimension of Matlab procedures function FractalDim D = (y, cellmax)% for the importation of one-dimensional signal box fractal dimension% y Victoria is a signal llmax : square of the largest side length, the two can take several dual Power (1, 2,4,8 ...), data from more than even the length of the% D y is the box dimension (Dgt under normal circumstances; = 1), D = lim (log (N (e))/log (k/e)) ,)

低通滤波 通过自定义低通滤波器，达到滤除鸟笼子的目的(failed to translate)

说明：  一个三维共形时域有限差分方法，很实用，对于处理三维FDTD算法问题，很有实际价值。(A three-dimensional conformal finite-difference time domain method is very practical.It has practical value to deal with the problem of 3D fdtd algorithm.)