DMI_S

混沌动力学实例仿真，采用MATLB可以用作研究动力学学习使用(Chaotic dynamics simulation using MATLB can be used to study learning dynamics)

说明：  该程序的优点在于障碍可以自己设置，也可以读图。(The advantage of this program is that obstacles can be set by themselves or read pictures.)

order static是在天线选择，用户选择中经常使用到的方法，这本书详细介绍了关于orderstatic的理论(order static in antenna selection, the user selects the method often used, this book details the theory on the orderstatic)

超声仿真软件，基于MATLABB，用于声束合成技术可直接使用。 (Ultrasound simulation software, based on MATLABB for beam synthesis technique can be used directly.)

在matlab开发平台上，关于gui界面设计的参考资料，包含很多应用案例。(On matlab development platform, about gui interface design reference, contains many application cases.)

师兄的人工势场法避障实验代码，绝对好用，代码精炼，注释全(Brother of artificial potential field obstacle avoidance test code, absolutely everything, code refining, notes the whole)

WENO SCHEME WITH RELATIVE LIMITERS FOR EULER EQUATIONS

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)

说明：  DTC control of an induction motor

模糊数学方法中的隶属度的分析以及矩阵的计算和因子评价(Fuzzy membership degree of mathematical methods in the analysis and evaluation of matrix calculation and factor)