photonic_crystal_method_of_characteristic_matrix_1

这是一个数组练习，程序的作用是查询一个一维数组（数值型数组）中每一个元素出现的次数，且元素出现的顺序不能改变(This is an array of exercises, the program' s role is to query a one-dimensional array (numeric array) in the number of occurrences of each element, and the element can not be changed in order of appearance)

PCA算法程序设计步骤： 1、去均值 2、计算协方差矩阵及其特征值和特征向量 3、计算协方差矩阵的特征值大于阈值的个数 4、降序排列特征值 5、去掉较小的特征值 6、去掉较大的特征值(一般没有这一步） 7、合并选择的特征值 8、选择相应的特征值和特征向量 9、计算白化矩阵 10、提取主分量 (PCA algorithm programming steps: 1 to mean 2, calculation of covariance matrix and its eigenvalues and eigenvectors 3, the calculation of covariance matrix eigenvalues greater than the threshold number of 4, in descending order of eigenvalue 5, remove the smaller eigenvalue 6, remove the larger eigenvalue (usually not this step) 7, the combined choice of eigenvalues 8, select the appropriate eigenvalues and eigenvectors 9, computing whitening matrix 10, principal component extraction)

基于FDK的锥束CT全三维重建算法，Matlab语言版本。(FDK cone-beam CT based full three-dimensional reconstruction algorithm, Matlab language version.)

是以有限差分算法的MATLAB实现，可以运行的，给出谐振腔的场强的表示方法(finite diffenence time domain programmed by matlab language is for cavity, and its elelctro magnetic field can be showed.)

说明：  一帧语音+CS(MP,BP OMP)重构算法包括读取分帧重构计算 误差分析(A voice+CS (MP, BP OMP) reconstruction algorithm consists of reading framing error analysis reconfigurable computing)

三维的FDTD实现，采用CPML边界，较为详细的注释(Three-dimensional FDTD using CPML border, more detailed notes)

卡尔曼滤波程序用于时间序列预测，结构简单程序易懂(kalman filter for prediction)

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)

数值计算资料 13个独立的实验，涉及矩阵、微积分、统计等等(numerical calculation)

说明：  应用fluent进行两相流的仿真，内容充实具体，简易使用，是进行两相流仿真的一个很好的算例。pdf文件。(Using fluent to simulate two-phase flow, the content is rich and specific, easy to use, is a good example of two-phase flow simulation)