ISI

It is the code to demonstrate actof filtering

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Bluepilling the Xen Hypervisor Joanna Rutkowska & Alexander Tereshkin Invisible Things Lab

用LMS和RLS算法进行谱估计，求取均方误差(LMS and RLS algorithm spectral estimation strike mean square error)

关于神经网络控制，最终的权值矩阵就是滤波器的系数，进行逐步线性回归。( On neural network control, The final weight matrix is ??the filter coefficient, Stepwise linear regression.)

This source code is about how to encode and decode a picture using JPEG algriothm

图像均值滤波器和中值滤波器，并求出PNSR，即信噪比(figure operator)

说明：  随机信号分析实验 （1）产生N（0,1）正态分布的随机过程； （2）产生正态分布随机过程外的任意一种随机过程； （3）对随机过程的性能进行评估，包括概率密度函数、分布函数、均值、方差和相关函数。((1) The stochastic process of generating N(0,1) normal distribution; (2) generating any random process outside the normal distribution random process; (3) evaluate the performance of random process, including probability density function, distribution function, mean value, variance and correlation function.)

approximation with neural networks

在Matlab平台上采用将模拟退火算法及遗传算法相结合的曲线拟合方法，实现以任意次数、任意顶点数的非均匀有理B样条（NURBS）曲线逼近给定测量点序列(On the Matlab platform, we use the curve fitting method combining simulated annealing algorithm and genetic algorithm to achieve the sequence of a given measurement point with any number of arbitrary number of points and the non-uniform rational B spline (NURBS) curve.)