dvr1

使用matlab工具实现账户登陆功能，密码的隐藏，使用matlab做系统可以参考，内含源码(Use the Matlab tools account login function hidden password, use matlab system can reference containing source)

IOSDATA & kmean的模式识别分类的实现代码，属于原代码，编程语言MATLAB。(The realization of iosdata&Kmean pattern recognition classification code, belonging to the original code, the programming language is matlab)

matlab实现主成分分析的运算实例 简单易懂 有注释说明(Matlab implementation of principal component analysis of the operation example is simple and easy to understand)

实用的小波包分析程序，用于信号的等频段分解。(very usefull wavepack code, for signal decomposition with equal frequency band.)

说明：  用runge-kutta 法解常微分其中有实例，可以用于验证(Using runge-kutta method for solving ordinary differential examples of which can be used to verify)

berryscm - Self-Consistent (Berryman) multi-component (> 2) effective elastic moduli

Lte fundamentals and mathematical algorithms

CVaR的计算，以及cvar最优化的投资组合权重问题(VAR CVAR OPTIMAL)

线性调频脉冲压缩雷达仿真，包括回波，脉冲压缩处理，雷达分辨力(Linear frequency modulated pulse compression radar simulation, including the echo, pulse compression processing, the radar resolution)

denoise In BayesShrink[5] we determine the threshold for each subband assuming a Generalized Gaussian Distribution(GGD) . The GGD is given by GG¾ X ¯ (x) = C(¾ X ¯ )exp¡ [® (¾ X ¯ )jxj]¯ (6) ¡ 1 < x < 1 ¯ > 0, where ® (¾ X ¯ ) = ¾ ¡ 1 X [ ¡ (3=¯ ) ¡ (1=¯ ) ]1=2 and C(¾ X ¯ ) = ¯ ¢ ® (¾ X ¯ ) 2¡ ( 1 ¯ ) and ¡ (t) = R1 0 e¡ uut¡ 1du. The parameter ¾ X is the standard deviation and ¯ is the shape parameter It has been observed[5] that with a shape parameter ¯ ranging from 0.5 to 1, we can describe the the distribution of coefficients in a subband for a large set of natural images.Assuming such a distribution for the wavelet coefficients, we empirically estimate ¯ and ¾ X for each subband and try to find the threshold T which minimizes the Bayesian Risk, i.e, the expected value of the mean square error.