NFA

APPLICATION OF A SHUNT ACTIVE POWER FILTER TO COMPENSATE MULTIPLE NON-LINEAR LOADS

OutputText.rar例子，关于txt输出，注释的特别详细(OutputText，special for txt)

统计推断在数模-模数中的应用，利用模拟退火算法找出七个关键点用于曲线拟合。全程序用matlab语言实现。(Statistical Inference in a few modules- module in the application of simulated annealing algorithm to identify the seven key points for curve fitting. Full program with matlab language.)

说明：  关于通信信号的调制，包括很多种哦，希望对大家有用，谢谢了啊!(On the modulation of communication signals, including a variety of oh, we hope to be useful, thank you, ah!)

Nonlinear Optimization Applications

混沌吸引子，有logistic,有lonez等(Chaotic attractor, there are logistic, etc. have lonez)

code for AES to to encrypt data

首先根据短训练字的特性进行相关运算，进行信号到达检测，当检测到相关值大于门限一定次数后，认为有信号到达。然后根据长训练字的特性，进行相关运算，进行OFDM符号FFT窗口起始位置的估计。估计出FFT窗口的位置后，先在时域进行小频偏的估计，将两个长训练字进行小频偏补偿后，进行FFT运算，根据FFT运算的结果进行整数倍频偏的估计。这些参数估计完成后，就可以进行数据解调了。先对数据部分进行完整的频偏补偿，然后根据估计的FFT窗口位置进行FFT运算得到频域的数据，进行解调。然后在对应于导频的子载波位置上提取出导频信息，根据导频信息估计出剩余定时误差以及剩余的信道响应误差，将误差量送入环路进行跟踪。当收到所有数据后，重新回到信号到达检测状态，进行下一次信号到达的检测和信号接收。(First, according to the characteristics of the short training word correlation operation, the signal reaching the detector, when the detected correlation value is greater than the threshold after a certain number of times that a signal arrives. And then the characteristics of long training word, the correlation operation for the FFT window starting position of an OFDM symbol estimate. The estimated position of the FFT window, the first small frequency offset in the time domain estimation, the two long training word small frequency offset compensation, the FFT operation, the FFT result of the operation for integer frequency offset estimate. These parameter estimation is completed, the data can be demodulated on. The first portion of the data for a complete frequency offset compensation, and based on the estimated FFT window position of the FFT operation to obtain frequency domain data, demodulated. Then corresponding to the position of the pilot subcarriers are extracted on pilot inform)

document describe application layer as qustions and answer ,

SO BP神经网络的实现，有神经网络源程序，带附录说明(SO BP neural network to achieve, there are neural network source, with appendix explains)