IEEE14

这里　提供了　罗克韦尔ｌｏｇｉｘ５０００的各种指令集，是利用罗尔韦尔自动化控制者的一个不错的小工具　可以随时查阅这些指令(Rockwell logix5000 here provides a variety of instruction set, is the use of automated control Luoerweier' s a nice little tool to gain access to these instructions)

针对十六阵元的圆阵用matlab仿真出的方位波束图。(Array element for the sixteen matlab simulation using a circular array of directional beam pattern.)

This a two dimensional level set code where the interface grows with normal speed equal -curvature. The code generates a movie showing the interface motion with and explicit first order in time algorithm with center differencing in space.

clustering using kmeans. Good for HMM

piccolo manuale di matlab comprendente le funzioni base. adatto per chi non ha mai avuto approci conq uesto software

计算随机海浪，P_M谱密度描述的随机海浪的数学模拟(Calculation of random wave)

separation nonlineaire

还是工具箱 希望能够给大家提供帮助 呵呵 也希望站长批准我成为你们的会员 (This is the toolbox. Hope it can be helpful. Hope administrator can approve my willingness to be the member. Thanks.)

自己毕设做的基于三角载波的有源电力滤波器（APF）仿真，可供（apf和pwm整流器设计参考使用）(Do your own complete set of triangular carrier-based Active Power Filter (APF) emulation available (apf and pwm rectifier design reference))

Wavelet denoising For using this code need to use signal toolbox and general toolbox in your matlab In the first part of this assignment, we asked to obtain a (black-and-white) digital image of size 512 by 512 and then generate noisy image by adding a Gaussian noise but under the condition of having SNR=20dB by select the suitable value of variance for Gaussian noise formula. Second step is performing wavelet denoising using the hard thresholding (Use the db 6 for four levels) in the condition of finding the optimal thresholding value of T in terms of the SNR obtained. It means that, we should find the highest SNR value by finding the suitable value for threshold. Then we asked to do the same process but this time using soft thresholding. Finally for the last part of question one, we should compare the results of the obtained SNR with the recommendations of 3*sigma for the hard thresholding and 3/2*sigma for the soft thresholding.