prag1

自适应中值滤波与中值滤波算法的比较，说明自适应中值滤波效果好。(Adaptive median filter and median filtering algorithm comparing the adaptive median filter shows good results.)

贝叶斯回归分析,以二维图像线性拟合为例，解决过度拟合问题(Bayes regression)

说明：  滑模变结构控制 MATLAB仿真 基本理论与设计方法 仿真程序(Basic theory and design method of sliding mode variable structure control based on MATLAB simulation program)

Alamoudi in Matlab,this is the advance matlab version.

Articulo del calentamiento global

说明：  解两点边值问题的有限元程序代码（matlab）(Solution of Boundary Value Problems of Finite Element code (matlab))

用于处理机械动力学响应的三维频谱图matlab程序(Matlab program for the processing of mechanical response to the three-dimensional spectrum)

Bpsk代码，用Matlab 产生BPSK代码(Bpsk code, BPSK code generated by Matlab)

Standard analytic micromechanics analysis using the matlab programming language.

说明：  盲源分离FastICA、matalab程序，(FAST KERNEL ICA | |--------------------| Version 1.0- February 2007 Copyright 2007 Stefanie Jegelka, Hao Shen, Arthur Gretton This package contains a Matlab implementation of the Fast Kernel ICA algorithm as described in [1]. Kernel ICA is based on minimizing a kernel measure of statistical independence, namely the Hilbert-Schmidt norm of the covariance operator in feature space (see [3]: this is called HSIC). Given an (n x m) matrix W of n samples from m mixed sources, the goal is to find a demixing matrix X such that the dependence between the estimated unmixed sources X *W is minimal. FastKICA uses an approximate Newton method to perfom this optimization. For more information on the algorithm, read [1], and for more information on HSIC, refer to [3]. The functions chol_gauss and amariD are taken from and based on, respectively, code from Francis Bach (available at http://cmm.ensmp.fr/~bach/kernel-ica/index.htm). The derivative is com)