FDTD

CSharp用于卫星广播星历计算和精密星历计算(Used for satellite radio star calendar calculation and precision star calendar calculation)

用C＋＋实现的高斯混合模型的算法类，方差矩阵是对角矩阵(C++ Gaussian mixture model algorithm category, variance matrix is diagonal matrix)

悬臂梁 固体力学 有限元 端部作用力下梁的变形问题(Solid mechanics finite element cantilever force under the ends of the beam deformation)

加步探索法，二分法,黄金分割法,抛物线插值法求解方程的演示(Plus step-by-step exploration of law, black-and-white, golden section method, the parabolic interpolation method for solving equations of presentation)

用计算机编程的方法建立试卷的合理分配问题的优化模型(Optimization model to establish the papers a reasonable allocation problem with computer programming methods)

说明：  模糊模拟、神经网络以及遗传算法的结合，matlab程序(The combination of fuzzy simulation, neural network and genetic algorithm, matlab program)

应用牛顿法的直角坐标系下的33节点潮流计算(33 node flow calculation)

提供两种非线性动态方程线性化的方法实例，精确线性化方法和反馈线性化方法(Provides two linear equations of nonlinear dynamic methods examples of exact linearization and feedback linearization method)

使用Matlab编程，对教材74页例3.3.1进行编程仿真。其中，正电压A的值、噪声方差值、每个码元周期内的采样点数N自行设定（可设置为可调的变量）。噪声值可使用Matlab中产生高斯随机数的函数来进行仿真。贝叶斯检测判决式中，先验概率P(H1)=P(H0)，判断错误的代价因子设为1，判断正确的代价因子设为0. 按照上述参数的设定进行仿真，实现对仿真数据的贝叶斯检测判决；循环生成仿真数据，并进行判决结果的统计，即记录判决正确的次数，估计正确判决的概率。(The use of Matlab programming, teaching materials 74 pages of 3.3.1 programming simulation. Among them, the value of positive voltage A, the variance of noise, the number of sampling points in each symbol cycle (N) can be set by itself (adjustable variable). Noise values can be simulated using the function of generating Gauss random numbers in Matlab. In the Bias detection decision, the prior probability P (H1) =P (H0), the factor of error judgment is set to 1, and the correct cost factor is set to 0. According to the simulation parameters and realize the judgment of Bayesian detection simulation data; generating cycle simulation data, statistics and decision, which records the correct number of judgment, the estimated probability of correct decision.)

首先根据高斯白噪声频率充满整个频带的特性，通过双树复小波包变换对高斯白噪声进行分解，利用频带能量泄漏的定量分析方法，验证了双树复小波包变换具有较低的频带能量泄漏特性；其次利用双树复小波包变换逐层分解信号，对每层分解所得分量求其FFT谱的峭度，得到基于双树复小波包变换的谱峭度图，根据图中峭度最大的原则，可以自动准确的选择信号分解最佳层数和最佳分量；最后将基于双树复小波包变换的谱峭度图的故障诊断方法应用于实际工程中，对齿轮故障振动信号进行分析，选择最佳分解层数和分量后利用希尔伯特包络解调，有效准确地提取了故障特征信息，验证了方法的可行性和有效性(The parameters of a filter were determined by experience, and that has a great influence on the results of signal processing. The discrete wavelet packet transform has a larger energy leakage of frequency band, which obviously affected the results of the envelope demodulation. It is necessary to have a method with a lower energy leakage of the frequency band before envelope demodulation. The dual tree complex wavelet packet transform (DT-CWPT) was a new signal processing method that had many good qualities. Because the energy leakage of the frequency band was smaller when the signal was decomposed by a dual tree complex wavelet packet transform, the dual tree complex wavelet packet transform was used to extract the fault feature information in the field of fault diagnosis. In this paper, first, according to the characteristics of Gaussian white noise, whose frequency was full of the whole frequency band, Gaussian white noise was decomposed by a dual-tree complex wavel)