regress-1134697

实现用matlab仿真OFDM系统限幅（clipping）法抑制峰均比的原理(Achieve PAPR of OFDM system simulation using matlab clipping (clipping) Act Principles)

for cross entropy implementation

在这项工作中所使用的方法是基于一个由大卫阿诺德教程。 http://online.redwoods.cc.ca.us/instruct/darnold/diffeq/logistic/logistic.pdf 这将运行该Logistic.m带来了图形用户界面。 1。放弃在列的格式文本文件中的x值 2。放弃在山口格式文本文件中的y值 3。的阴谋初始 按钮将绘制的分布 4。 查找适合 按钮，会找到最适合 5。 重置 将删除的情节（虽然我想打扫所有的领域 -没有时间） 5。地下K，糖尿病在下列公式中的值 Ÿ 等于k/（1+进出口（- G *的（十型录））） 6。上证所给出了squred误差之间的拟合函数与实际数据的总和 7。消委会提供的相关合作关系的实际数据拟合功能和效率(The method used in this work is based on a tutorial by David Arnold. http://online.redwoods.cc.ca.us/instruct/darnold/diffeq/logistic/logistic.pdf RUN The Logistic.m this will bring up the GUI. 1. Give the x values on a text file in column format 2. Give the y values on a text file in col format 3. Plot Initial Button will plot the distribution 4. Find Fit button will find the best fit 5. Reset will remove the plot (Although I wanted to clean all the fields- did not have time) 5. K, G, Dm are the values in the following equation y = K./(1+exp(-G*(x-Dm))) 6. SSE gives the sum of squred error between the fitted function and the actual data 7. CC give the correlation co-efficient between the fitted function and actual data)

用VS2010实现，也可直接查看源代码，实现控制台程序运行的时候不显示黑色窗体(When the program is running console does not show the black form)

说明：  Matlab中对建立好的网络进行节点/连边随机、蓄意攻击，用最大连通子图、网络效率来衡量网络的抗毁性，并找出最关键的节点的仿真程序。(In MATLAB, the nodes / edges of the established network are attacked randomly and intentionally. The invulnerability of the network is measured by the maximum connectivity sub graph and network efficiency, and the simulation program of the most critical node is found.)

MIMO符号速率变化设定仿真，主要针对OFDM调制(MIMO symbol rate change settings)

抵押到款MATLAB实现--等额还款方式(Mortgage to the MATLAB models to achieve- equal repayment)

利用matlab实现语音信号的倒谱分析,通过观察仿真，可以看出倒谱函数的频谱特性。(Matlab voice signal cepstrum analysis, simulation, can be seen by observing the spectral properties of the function cepstrum.)

A program for computing the fast forier transformation (FFT).

基于视觉诱发电位的脑电信号的频率和相位的检测，用于得到受试者的看到的数字。(SSVEP brain signal anlaysis codes. )