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non linear simulation techniques for circuits FDTD

小波分解用在信号识别上面。所用信号有，单载波信号和OFDM信号以及另一种多载波信号WPM。对做信号处理和识别方面的朋友会很有帮助。(Wavelet decomposition used in the signal recognition above. Signals are used, single-carrier signals and OFDM signals, and other multi-carrier signal WPM. Do signal processing and identification of areas friend would be helpful.)

fft算法的具体实现，应用基2法实现，有比较好的实验结果。(fft concrete realization of the algorithm, the application base 2 method achieved a relatively good results.)

交错并联型双反激逆变器的saber仿真文件，自己做的一个项目的前期方案论证、原理验证的文件，做电力电子的朋友都知道它的好。(Interleaved dual flyback inverter saber simulation files, pre-program yourself to do a demonstration project, the principle of verification of documents, power electronics make friends all know it s good.)

传输矩阵法计算啁啾光栅反射谱 本节中给出传输矩阵法计算啁啾光栅反射谱和 时延的完整M at lab 程序实例, 本段代码在 M at lab513 和W indow s2000 环境中运行通过。运行结果如图8 所示。可以改变光栅长度、有效折射率、折射率调制深度、啁啾系数等参数来获得不同参数下光栅反射谱和时延曲线。如果打开“％ 切趾”行的屏蔽符“％ ”则可得到切趾后光栅反射谱和时延特性曲线, 此时计算所得的曲线将比图8 中所示的曲线平滑很多。(Transfer matrix method to calculate reflection spectrum of chirped grating is given in this section transfer matrix method to calculate chirped grating reflection spectrum and the delay of a complete example of M at lab procedures, the above code in M at lab513 and W indow s2000 environment to run through. The results shown in Figure 8. Can change the grating length, the effective refractive index, refractive index modulation depth and chirp coefficient parameters to obtain different parameters of grating reflection spectrum and the time delay curve. If you open Apodization line shielding Fu can be grating after apodization reflection spectrum and the delay characteristic curve, the curve at this time will be calculated as shown in Figure 8 a lot of curve smoothing.)

对simulink仿真系统非常有用，对你的研究肯定有很大的帮助(Simulink simulation system to be very useful for your research must be of great help)

运用matlab实现计算机声卡采集信号并进行时域分析，直接运行即可。(Data acquisition & time domain analysis)

matlab实现遗传算法，并绘出过程曲线(matlab implementation of genetic algorithm)

在做优化的时候，起初选择了GA算法，但是GA的不稳定性（或者陷入局部最优）实在让人抓狂，前后两次的结果相差竟然有时候能达到30 以上，当时由于时间的原因，我只好选择了优化1000次，然后以其中的最小值最为最佳方案。虽然问题也算解决了，但是从学术上将，这种奔方法是让人很尴尬的。所以，我从网上下载了一个GA－PSO算法，试着利用GA和PSO组合的策略进行优化，结果算法很问题，效率和不错。我下载原始算法，有一个问题就是它是针对所有的设计变量上下限都是一样的，所以我对程序进行了修改与改进，现在可以处理上下限不一致的问题，同时fix了一些bug。现在把修改后的程序和大家分享一下，希望能对您有用.注意myfit需要用自己的函数，否则出错，因为我的myfit程序在调用过程中，需要使用matlab的Kriging工具箱 (a optimization method combining GA and PSO)

本程序是计算深海远场情况下的声源定位，首先要编译海洋环境文件（包含阵元信息），利用Krakren程序计算本征函数和本征模态，再利用本程序的子程序计算拷贝向量，然后合成声源信号，最后根据匹配场的程序进行匹配定位，由于数据量比较大，计算区域如果选的比较大的话，计算时间就比较长，酌情选择。(This procedure is to calculate the far-field sound source localization in case of deep sea, we must first compile the marine environment file (containing the array element information), use Krakren program to calculate the intrinsic function and the intrinsic mode, and then use a subroutine to copy the program to calculate the vector then synthesized excitation signal, the final match to locate the matching field program, because a large amount of data to calculate the area if the election is relatively large, the calculation time is relatively long, discretionary selection.)