wave_method_fault_location

Simulation of an AR-GJR process

代码为模拟退火法，利用matlab工具编写。(the code is simulated annealing which written by matlab.)

构成不同频率的调制信号，应用小区域方差对比，程序简单，本程序的性能已经超过其他算法。( Constituting the modulated signals of different frequencies, Application of small area variance comparison, simple procedures, This program has exceeded the performance of other algorithms.)

本书介绍了光学设计的理论和并给出了一些实例及相关的参考文献，对于从事镜头设计的研究者来说具有很好的参考价值。(This book introduces the theory and optical design and gives some examples and related references for researchers engaged in the lens design is a good reference value.)

一些基本的小波变换程序，拿来与大家共享，可能对初学者有些帮助(Wavelet transform some of the basic procedures used with the U.S. share may be helpful for beginners)

本程序采用迭代对输入彩色图象进行增强处理,处理速度快,效果好. (this programme is used interactive method to enhance the imput color image)

logistic映射分岔图的四种实现方法(logistic map bifurcation diagram of the four implementations)

基于以的控制系统性能指标高效汲取法【摘要本文提出了一种新的基于山和, “ 动仿真技术的控制系统性能指标高效汲取方 法。与众不同的是系统响应和指标求取仿真模块建立后, 通过山程序的运行能直接、快速、方便 地被获得性能指标。数值实验表明本方法简单直观、通用性强, 十分适合于工程应用。(Control system based on performance indicators in order to learn efficient methods)

Designs a linear phase FIR lowpass filter such that it: - minimizes maximum stopband attenuation - has a constraint on the maximum passband ripple This is a convex problem (when sampled it can be represented as an LP). minimize max |H(w)| for w in the stopband s.t. 1/delta <= |H(w)| <= delta for w in the passband ( where H is the frequency response function and variable is h (the filter impulse response). delta is allowed passband ripple. )

说明：  基于lms算法的干扰自适应抵消LMS算法是基于最陡下降法的统计估计的最小均方值算法，令误差的均方值达到最小时的抽头系数的值即为最优解。LMS算法抽头系数w的变化方向为代价方程的负梯度方向。(Lms algorithm based on adaptive interference cancellation algorithm is the LMS steepest descent method based on statistical estimation of the least mean square algorithm, so that the mean square error to achieve the most hours of the tap coefficient value is the optimal solution. LMS algorithm for tap coefficient w, the cost equation changes in the direction of the negative gradient direction.)