4阶RK方法

steo mottor with gui matlab and port pararell

柱体 TE_TM 波散射 采用的方法为矩量法由于基函数和权函数选取的是相同的，故称为伽略金(Galerkin)法。

关于超宽带的一系列仿真包括高斯波形各阶导函数波形频谱以及采用高斯导函数的跳时超宽带仿真程序-On a series of ultra-wideband waveform simulation including the Gaussian wave function of the first derivative spectrum and the use of Gaussian derivative function of time-hopping ultra-wideband simulation program

matlab统计分析工具箱里面没有频数统计函数，有些情况下频数统计可以很直观地显现统计规律。-statistical analysis toolbox matlab There are no statistics on the frequency function, in some cases frequency statistics can be intuitively apparent statistical regularity.

针对防空作战中空中目标航迹预测的问题,提出一种基于灰色理论的空中目标航迹预测方法.该方法通过建立等维新息残差修正GM预测模型,实现了航迹的实时在线预测,从而提高了预测精度.(method for predicting aerial target tracks in air defense warfare was put forward based on grey theory．establishing the predicting GM model of corrected residual error，on—line prediction of the target track could be realized in real time，and thus could improve the prediction precision.)

这是我做的第一个gui,实现的功能是画各种函数图形，给各位初学gui的参考下。(my frist gui)

考虑L的三个不同值：L＝256（3个数据段），L＝128(7个数据段)和L=64（15个数据段）。各自的谱估计图如上图所示。可以明显的看到，加窗明显的减小了频谱上的假谱峰，但也更加进一步平滑了谱峰。所以，对于L＝64的情况，在ω＝0.8π的谱线可以很确定的辨认，但是那两个靠近的谱峰不容易区分。对于L＝128的情况，这种情况提供了在分离和检测间最好的均衡。当然，对于在L＝256时的情况，效果是更好的，能够从谱估计图上明显的分辨出三条谱线的存在以及它们幅度关系的强弱。 除了Welch法外，还可以采用对多个周期图求平均的功率谱估计方法的其他方法如Bartlett法等等，在功率谱估计上也能取得较好的结果。(consider three different values : L = 256 (3 data), L = 128 (7 data) and L = 64 (15 data). Their spectral estimation map as shown in Fig. It is clear to see that increase significantly decreasing window of the spectrum of false peaks, but much more to further smooth the peaks. Therefore, L = 64, in the case = 0.8 spectrum can determine the identification, but that the two peaks around is not easy to distinguish. L = 128 for the situation, which provided the separation and detection among the best balanced. Of course, L = 256 in the case, the effect is better, from the spectral estimation map clearly distinguish between the three lines of the existence and their relationship to the rate of strength. In addition to Welch law, but also can be used to map multiple cycle for the average power)

使用Matlab实现LMS自适应滤波，实现的主要功能有：读入原始音频，加入高斯噪声后用LMS自适应滤波滤除，比较原始音频，加入噪声音频和滤波后音频的区别。(Matlab achieved using LMS adaptive filtering to achieve the main features are: read the original audio, adding Gaussian noise is filtered using LMS adaptive filtering, comparing the original audio, add audio and noise filtered audio difference.)

generate random number from a certain range(generate random number from a certain range, you can choose whether the same number can be repeated or not. )

光纤激光器仿真程序，matlab写的,是一个不错的程序(fiber laser)