BER_codigoHamming

In computer vision, the Lucas–Kanade method is a widely used differential method for optical flow estimation developed by Bruce D. Lucas and Takeo Kanade. It assumes that the flow is essentially constant in a local neighbourhood of the pixel under consideration, and solves the basic optical flow equations for all the pixels in that neighbourhood, by the least squares criterion.

matlab simulation for synchronous machine direct and vectorial modeling

给出了通过MATLAB计算VaR的各种方法和实例(MATLAB code for Value-at-risk)

Some paintings lyapunov chaotic attractor and the related terms, while the sub-critical and supercritical classification

IEEE 13 bus with double tuned filter at 3rd bus

An program for transmission line is given in this file.For Short the length is 80 km,for medium 80 to 250 km and for long transmission length is given by 250 km above.

watershed programming

找到的一个好的QPSK用matlab的smulink做的,很不错哦(QPSK found a good use matlab to do the smulink, very good, oh)

This book is useful for writing a standard report, paper.

基本的拉格朗日乘子法(又称为拉格朗日乘数法)，就是求函数f(x1,x2,...)在g(x1,x2,...)=0的约束条件下的极值的方法。其主要思想是引入一个新的参数λ（即拉格朗日乘子），将约束条件函数与原函数联系到一起，使能配成与变量数量相等的等式方程，从而求出得到原函数极值的各个变量的解。 (Basic Lagrange multipliers (also known as Lagrange multiplier method), is of a function f (x1, x2 ,...) in g (x1, x2 ,...)= 0 constraints under the conditions of extreme value methods. The main idea is to introduce a new parameter λ (the Lagrange multiplier), the constraint function is linked together with the original function, so variables can be paired with an equal number of equations equation, thus obtained by the original function extreme solution of the various variables.)